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  • All Classes
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    abs() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    absolute value.
    abs() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    absolute value.
    Abs - Class in org.apache.commons.math3.analysis.function
    Absolute value function.
    Abs(© - Constructor for class`org.a0ache.commons.math3.analysis,function.bs¼/dt> 8dd> 
    <äiv clcss="jlock">Return the q"solute value gf t`is complex number.
    Abs() - Method in class ozg.apache.commgns.math3.dfp.Dfp>/dt>
    abs() - Method in class org.apache.commons.math3.fraction.BigFraction
    Returns the absolute value of this BigFraction.
    abs() - Method in class org.apache.commons.math3.fraction.Fraction
    Returns the absolute value of this fraction.
    abs() - Method in interface org.apache.commons.math3.RealFieldElement
    abso,ute valte.
    Decimal64<¯a>=/dt>
    absolute value.
    abs(ant) - S4atic method if class org.apache.commgns.math3.5til,FartMath
    *¼div class="bhock">Absolute$value.
    - Stat)cmethod in class org.apashe.commons.-ath3.util.FastMath
    Absolute value.
    abs(float) - Static method in class org.apache.commons.math3.util.FastMath
    Absolute value.
    abs(double) - Static method in class org.apache.commons.math3.util.FastMath
    Absolute value.
    AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optim
    Base class for all convergence checker implementations.
    AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optim.AbstractConvergenceChecker
    Build an instance with a specified thresholds.
    AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    AbstractConvergenceChecker() - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
    Deprecated.
    in 3.1 (to be removed in 4.0). Convergence thresholds are problem-dependent. As this class is intended for users who want to set their own convergence criterion instead of relying on an algorithm's default procedure, they should also set the thresholds appropriately (cf. MATH-798).
    AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker
    Deprecated.
    Build an instance with a specified thresholds.
    AbstractCurveFitter - Class in org.apache.commons.math3.fitting
    Base class that contains common code for fitting parametric univariate real functions y = f(pi;x), where x is the independent variable and the pi are the parameters.
    AbstractCurveFitter() - Constructor for class org.apache.commons.math3.fitting.AbstractCurveFitter
     
    AbstractCurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.fitting
    Vector function for computing function theoretical values.
    AbstractCurveFitter.TheoreticalValuesFunction(ParametricUnivariateFunction, Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
     
    AbstractDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
    Deprecated.
     
    AbstractDifferentiableUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
    Deprecated.
    AbstractDifferentiableUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
    Deprecated.
    Construct a solver with given absolute accuracy.
    AbstractDifferentiableUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
    Deprecated.
    Construct a solver with given accuracies.
    AbstractEvaluation - Class in org.apache.commons.math3.fitting.leastsquares
    An implementation of LeastSquaresProblem.Evaluation that is designed for extension.
    AbstractFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode
    Base class managing common boilerplate for all integrators.
    AbstractFieldIntegrator(Field<T>, String) - Constructor for class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Build an instance.
    AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
    Basic implementation of FieldMatrix methods regardless of the underlying storage.
    AbstractFieldMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
    Constructor for use with Serializable
    AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
    Creates a matrix with no data
    AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix
    Create a new FieldMatrix with the supplied row and column dimensions.
    AbstractFieldStepInterpolator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.sampling
    This abstract class represents an interpolator over the last step during an ODE integration.
    AbstractFieldStepInterpolator(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
    Simple constructor.
    AbstractFormat - Class in org.apache.commons.math3.fraction
    Common part shared by both FractionFormat and BigFractionFormat.
    AbstractFormat() - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
    Create an improper formatting instance with the default number format for the numerator and denominator.
    AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
    Create an improper formatting instance with a custom number format for both the numerator and denominator.
    AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat
    Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
    AbstractIntegerDistribution - Class in org.apache.commons.math3.distribution
    Base class for integer-valued discrete distributions.
    AbstractIntegerDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
    Deprecated.
    As of 3.1, to be removed in 4.0. Please use AbstractIntegerDistribution.AbstractIntegerDistribution(RandomGenerator) instead.
    AbstractIntegerDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution
     
    AbstractIntegrator - Class in org.apache.commons.math3.ode
    Base class managing common boilerplate for all integrators.
    AbstractIntegrator(String) - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
    Build an instance.
    AbstractIntegrator() - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator
    Build an instance with a null name.
    AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
    Deprecated.
    All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
    AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
    Deprecated.
     
    AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optimization.general
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    AbstractLeastSquaresOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
     
    AbstractLinearOptimizer - Class in org.apache.commons.math3.optimization.linear
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    AbstractLinearOptimizer() - Constructor for class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
    Simple constructor with default settings.
    AbstractListChromosome<T> - Class in org.apache.commons.math3.genetics
    Chromosome represented by an immutable list of a fixed length.
    AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
    Constructor, copying the input representation.
    AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
    Constructor, copying the input representation.
    AbstractListChromosome(List<T>, boolean) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome
    Constructor.
    AbstractMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
    Abstract base class for implementations of MultipleLinearRegression.
    AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
     
    AbstractMultivariateRealDistribution - Class in org.apache.commons.math3.distribution
    Base class for multivariate probability distributions.
    AbstractMultivariateRealDistribution(RandomGenerator, int) - Constructor for class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
     
    AbstractOptimizationProblem<PAIR> - Class in org.apache.commons.math3.optim
    Base class for implementing optimization problems.
    AbstractOptimizationProblem(int, int, ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.AbstractOptimizationProblem
    Create an AbstractOptimizationProblem from the given data.
    AbstractParameterizable - Class in org.apache.commons.math3.ode
    This abstract class provides boilerplate parameters list.
    AbstractParameterizable(String...) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
    Simple constructor.
    AbstractParameterizable(Collection<String>) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable
    Simple constructor.
    AbstractPolynomialSolver - Class in org.apache.commons.math3.analysis.solvers
    Base class for solvers.
    AbstractPolynomialSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
    Construct a solver with given absolute accuracy.
    AbstractPolynomialSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
    Construct a solver with given accuracies.
    AbstractPolynomialSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
    Construct a solver with given accuracies.
    AbstractRandomGenerator - Class in org.apache.commons.math3.random
    Abstract class implementing the RandomGenerator interface.
    AbstractRandomGenerator() - Constructor for class org.apache.commons.math3.random.AbstractRandomGenerator
    Construct a RandomGenerator.
    AbstractRealDistribution - Class in org.apache.commons.math3.distribution
    Base class for probability distributions on the reals.
    AbstractRealDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
    Deprecated.
    As of 3.1, to be removed in 4.0. Please use AbstractRealDistribution.AbstractRealDistribution(RandomGenerator) instead.
    AbstractRealDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution
     
    AbstractRealMatrix - Class in org.apache.commons.math3.linear
    Basic implementation of RealMatrix methods regardless of the underlying storage.
    AbstractRealMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix
    Creates a matrix with no data
    AbstractRealMatrix(int, int) - Constructor for class org.apashe.commons.math1.linear.AbstòactRealMatrip>/dt>
    Create a new RealMatrIx with the su0plied rgw and column dimensionw.
    S eyuends Space,T extends ,a hr%f="./org-apac`e/commonó/matj3/geometry/Space.htmm& title="interdace in org.apacèe.commons.math3.genmeury">Space> - Class in orc.apeche.commons.math3.geometpy.partitioning
    ABs4ract class for all recions, indepenlenôly of geometry type or(dimension.
    AbstractRegio.(douâle) - Construct/r for clas3 obg.aðache.c/míons.math3.geometry.partityoning.AbstractRegion
    Âuild a regiof representing thu whole space.
    bstractRegiïn(BSPTree<S>, double) - Constrwctor$for class org.cpache.commo~ó.math3.geometry.partitioning.AâstractRegion
    Build á"region &rom an inside/outside BSP tree.
    ¼span class="strong">AbstractRegion(omldction<SubHyperpLand<S>>, double-<.span> - Constructos0for class org.a`ache.coaeons.math3.geometry.partitioning.>a href= ./org/apache/c/mmons/math3+geometry/partitioning/AbstractRegion.html" 4itle="blass`in org.apache.commons.math3.eeometr9.partitioning"
    Build c Region &rom a Boundary REPresentation (B-rep).
    AbstractRegion(Hyperplane<S>[], double)AbstractRegion<+a>
    Bwild a bo.vex region drfm an arrey of bounding hYperpla~%s.
    
    
    AbstrActScalarDigfesentiableOptimize2 - Class in org.apache.commons.math3.optimization.gener!l<.dt>
    Deprekcted.<+spa.>
    As of 3.1 (to be`removed in 0.0).
    AbstractScalarDifferentiableOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
    AbstractScalarDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbqtractScalarDin&erentiableOptimizer
    Deprecated.  AbstRactSimplex|/cpan?<'a>`- Clasó in org.apache.commïns.math3>optim.nonlknear.scalar.noderiv<.dt> ,dd>
    <{pan claqs="stzong">:a href=".¯org/apache/commo~s/mauh3/optim/nonlinear/scalar/noderiv/AbstractWimplex&html#AbctractSimplex(int)">AbctractSimplex(int)`- Cons|ructor for class org.apache,commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Build a unit hypercube simplex.
    AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Build a hypercube simplex with the given side length.
    AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.sCalar.noderiv/AbstractSimplex
    Uhe start cnnfiguration for simplex éS bõilt from a$box parallel to the ranonical axes of the s`ace.Š
    AfsôractSimxlex
    The real ijitial simplex wihl be!set up!by mkving the reference simplex such that its first point is locited at the(start point of the Optimkzation.
    AbstractSimplex - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Build a unit hypercube simplex.
    AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Build a hypercube simplex with the given side length.
    AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    The start configuration for simplex is built from a box parallel to the cinonical axe3 of the space.
    
    AbstractSimplex(double][]) - Constructor for class org.apache.commons.math3.oqtimixetion.dirmct.ABstractWimplex <äd. Deprecated.J
    The real initial simplex will be set up by Movinc thg reference simplex such tèat its firsv poinp is located at the start point of the ÿptimization.
    <+a> - Class in$,a href<"./org/apache/commons/m!th3/Ode/óampling/package-summary.html">org.apache.commons®math3.ode.sampling
    This abstract class represents an interpolator over the last step during an ODE integration.
    AbstractStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Simple constructor.
    AbstractStepInterpolator(double[], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    4div cl`ss="bmock">Simple constòuctor. $/dD>
    AbstracttepInterpodator,AbstractStepInterpolator)<.span> - Construcôor for clas3 org.apache.commons.mcth3.ode+sampling.>a href9"./org/apache/Commons/oath3/ndd/sampling/EbstractStepIjterpolatorhvml" title="class in oúg.apache.commons.math3.ode.samplilg">AbstraatStepInterpolator|/dt> Copy constructor.4/div>
    AbstRactCtorelessUnivariaôeStatistic -0Class in org.apache.commons.math3.stat.descriptive
    Abstract implementation of the StorelessUnivariateStatistic interface.
    AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
     
    AbstractSubHyperplane<S extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning
    This class implements the dimension-independent parts of SubHyperplane.
    AbstractSubHyperplane(Hyperplane<S>, Region<T>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Build a sub-hyperplane from an hyperplane and a region.
    AbstractUnivariateDifferentiableSolver - Class in org.apache.commons.math3.analysis.solvers
    Provide a default implementation for several functions useful to generic solvers.
    AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
    Construct a solver with given absolute accuracy.
    AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
    Construct a solver with given accuracies.
    AbstractUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers
    Base class for solvers.
    AbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
    Construct a solver with given absolute accuracy.
    AbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
    Construct a solver with given accuracies.
    AbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver
    Construct a solver with given accuracies.
    AbstractUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive
    Abstract base class for all implementations of the UnivariateStatistic interface.
    AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
     
    AbstractWell - Class in org.apache.commons.math3.random
    This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
    AbstractWell(int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
    Creates a new random number generator.
    AbstractWell(int, int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell
    Creates a new random number generator using a single int seed.
    AbstractWell(int, int, int, int, int[]) - Constructor for class org.apache.commons.math3.random.AbstractWell
    Creates a new random number generator using an int array seed.
    AbstractWell(int, int, int, int, long) - Constructor for class org.apache.commons.math3.random.AbstractWell
    Creates a new random number generator using a single long seed.
    acceptStep(AbstractFieldStepInterpolator<T>, T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Accept a step, triggering events and step handlers.
    acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Accept a step, triggering events and step handlers.
    acos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Arc cosine operation.
    acos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute arc cosine of a derivative structure.
    acos() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Arc cosine operation.
    Acos - Class in org.apache.commons.math3.analysis.function
    Arc-cosine function.
    Acos() - Constructor for class org.apache.commons.math3.analysis.function.Acos
     
    acos() - Method in class org.apache.commons.math3.complex.Complex
    Compute the inverse cosine of this complex number.
    acos() - Method in class org.apache.commons.math3.dfp.Dfp
    Arc cosine operation.
    acos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    computes the arc-cosine of the argument.
    acos() - Method in interface org.apache.commons.math3.RealFieldElement
    Arc cosine operation.
    acos() - Method in class org.apache.commons.math3.util.Decimal64
    Arc cosine operation.
    acos(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the arc cosine of a number.
    acosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Inverse hyperbolic cosine operation.
    acosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute inverse hyperbolic cosine of a derivative structure.
    acosh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Inverse hyperbolic cosine operation.
    Acosh - Class in org.apache.commons.math3.analysis.function
    Hyperbolic arc-cosine function.
    Acosh() - Constructor for class org.apache.commons.math3.analysis.function.Acosh
     
    acosh() - Method in class org.apache.commons.math3.dfp.Dfp
    Inverse hyperbolic cosine operation.
    acosh() - Method in interface org.apache.commons.math3.RealFieldElement
    Inverse hyperbolic cosine operation.
    acosh() - Method in class org.apache.commons.math3.util.Decimal64
    Inverse hyperbolic cosine operation.
    acosh(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the inverse hyperbolic cosine of a number.
    Action - Enum in org.apache.commons.math3.ode.events
    Enumerate for actions to be performed when an event occurs during ODE integration.
    AdamsBashforthFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
    AdamsBashforthFieldIntegrator(Field<T>, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator
    Build an Adams-Bashforth integrator with the given order and step control parameters.
    AdamsBashforthFieldIntegrator(Field<T>, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator
    Build an Adams-Bashforth integrator with the given order and step control parameters.
    AdamsBashforthIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
    AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
    Build an Adams-Bashforth integrator with the given order and step control parameters.
    AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
    Build an Adams-Bashforth integrator with the given order and step control parameters.
    AdamsFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    Base class for Adams-Bashforth and Adams-Moulton integrators.
    AdamsFieldIntegrator(Field<T>, String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
    Build an Adams integrator with the given order and step control parameters.
    AdamsFieldIntegrator(Field<T>, String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
    Build an Adams integrator with the given order and step control parameters.
    AdamsIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    Base class for Adams-Bashforth and Adams-Moulton integrators.
    AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
    Build an Adams integrator with the given order and step control parameters.
    AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
    Build an Adams integrator with the given order and step control parameters.
    AdamsMoultonFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
    AdamsMoultonFieldIntegrator(Field<T>, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator
    Build an Adams-Moulton integrator with the given order and error control parameters.
    AdamsMoultonFieldIntegrator(Field<T>, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator
    Build an Adams-Moulton integrator with the given order and error control parameters.
    AdamsMoultonIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
    AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
    Build an Adams-Moulton integrator with the given order and error control parameters.
    AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
    Build an Adams-Moulton integrator with the given order and error control parameters.
    AdamsNordsieckFieldTransformer<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    Transformer to Nordsieck vectors for Adams integrators.
    AdamsNordsieckTransformer - Class in org.apache.commons.math3.ode.nonstiff
    Transformer to Nordsieck vectors for Adams integrators.
    AdaptiveStepsizeFieldIntegrator<T extends T&gd;> - Class in0org.apaãhe.commons.math3.ode.nonstiff
    This abstract class hodds the bommon par4 of alm adaPtive stepsiúe integravors for Ordinqry Differeîtial Equations.
    QdaptiveStepsazgFieldIntegrator(Fiel$<T>, String, double, double, doqble, `ouble) - Constrõctr for class org.apacle.commons.math3.ode.~onstmff.Buildan kntegrator with0the given stepsizm boundó& AdaptiveStepsizefieldI~tegrator(Field<U>, String, double, double, double[], doujle[]) - Constpuctor for cldss org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntecrator Fuild an integrator wiTh the given stepsize bounds.
    AdaptiveStepsizeIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
    AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Buind an integrator with the ghven$stepsize bounds>
    qd!ptiveSueqsizeIntegrator(String, doubLe, dgõble, dOuble[}, doub|e[]) - Constructor for class org.apacje.commons.math3.ode.nonstiff.AdaptiveStepsi2eYntegrator|/dt>
    @uild an hntegrator wiuh the given stepsi{e bounds.
    idd(double) - Method in class orf.a`ache.commons.lath3.anelysis.differentiqtion.DerivativeStructure
    '+' operator.
    add(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute this + a.
    add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Perform addition of two derivative structures.
    add(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute this + a.
    add(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    '+' operator
    Add - Class in org.apache.commons.mith3.anAlysiw.function
    Š
    Add thetwo operands.
    Add() - Constòuctor fov class orgnapache.commonó.math3.analysis.func|ion. "nbsp;'dd>
    add(UnivariateF}nction...) - Static method i. class org.apache/commons.math3.analysis.FunctionUtils
    Adds functions.
    add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Adds functions.
    add(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    add(double[], boolean) - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
    Replace i-th facet of the microsphere.
    add(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Add a polynomial to the instance.
    add(Complex) - Method in class org.apache.commons.math3.complex.Complex
    Returns a Complex whose value is (this + addend).
    add(double) - Method in class org.apache.commons.math3.complex.Complex
    Returns a Complex whose value is (this + addend), with addend interpreted as a real number.
    add(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
    Computes the sum of two quaternions.
    add(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
    Computes the sum of the instance and another quaternion.
    add(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Add x to this.
    add(double) - Method in class org.apache.commons.math3.dfp.Dfp
    '+' operator.
    add(T) - Method in interface org.apache.commons.math3.FieldElement
    Compute this + a.
    add(double, double) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
    Adds a point to the sample.
    add(double, double, double) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
    Adds a point to the sample.
    add(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
    Adds a point to the sample.
    add(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
    Adds the value of this fraction to the passed BigInteger, returning the result in reduced form
    =dt>BigFraction
    Adds the value of this frac|ikn tg the passed integer add(long) - Methnd in clas{ org.apachE.commons.math3.fraction.BmgFrac4ion
    Adds the value oF this fraction to th% pcsóed Long, retuòning the resulT in ReduceD form.
    add(BigFraction) - Method in claós org.apaohe.commkns.math3.fraction.BigFraction
    
    Adds tèe value of this fraation to another, òeturnin& the rgsult in reduced form/
    adD(Fra#ty/n) - Metèod in class org.apacxe.commins*matjs.fraction.Fraction/dt>
    Adds the value of this fraction to another, returning the 2gsult in seduced fgrm.
    - MethOd in class org.apacèe.commons.-ctl1.fraction.Fraction
    Add an integer to the fraction.
    add(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Add a vector to the instance.
    add(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Add a scaled vector to the instance.
    add(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Add a vector to the instance.
    add(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Add a vector to the instance.
    add(T, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Add a scaled vector to the instance.
    add(T, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Add a scaled vector to the instance.
    add(double, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Add a scaled vector to the instance.
    add(double, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Add a scaled vector to the instance.
    add(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Add a vector to the instance.
    add(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Add a scaled vector to the instance.
    add(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Add a vector to the instance.
    add(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Add a scaled vector to the instance.
    add(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.NodesSet
    Add a node if not already known.
    add(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
    Add a vector to the instance.
    add(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
    Add a scaled vector to the instance.
    add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Compute the sum of this and m.
    add(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the sum of this and m.
    add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Add m to this matrix.
    add(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Compute the sum of this and m.
    add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Compute the sum of this and v.
    add(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Compute the sum of this and v.
    add(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Compute the sum of this vector and v.
    add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Compute the sum of this and m.
    add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Compute the sum of this and m.
    add(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the sum of this and m.
    add(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Compute the sum of this matrix and m.
    add(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Compute the sum of this and m.
    add(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Compute the sum of this and m.
    add(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
    Compute the sum of this and v.
    add(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Compute the sum of this matrix and m.
    add(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Compute the sum of this vector and v.
    add(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Optimized method to add two OpenMapRealVectors.
    add(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the sum of this and m.
    add(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Compute the sum of this vector and v.
    add(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Optimized method to add sparse vectors.
    add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Compute the sum of this and v.
    add(double) - Method in interface org.apache.commons.math3.RealFieldElement
    '+' operator.
    add(BigReal) - Method in class org.apache.commons.math3.util.BigReal
    Compute this + a.
    add(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Compute this + a.
    add(double) - Method in class org.apache.commons.math3.util.Decimal64
    '+' operator.
    addAll(Iterable<BSPTree<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.NodesSet
    Add nodes if they are not already known.
    addAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Add two integers, checking for overflow.
    addAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Add two long integers, checking for overflow.
    addChromosome(Chromosome) - Method in class org.apache.commons.math3.genetics.ListPopulation
    Add the given chromosome to the population.
    addChromosome(Chromosome) - Method in interface org.apache.commons.math3.genetics.Population
    Add the given chromosome to the population.
    addChromosomes(Collection<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
    Add a Collection of chromosomes to this Population.
    addData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Adds the observation (x,y) to the regression data set.
    addData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Adds the observations represented by the elements in data.
    addElement(double) - Method in interface org.apache.commons.math3.util.DoubleArray
    Adds an element to the end of this expandable array
    addElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Adds an element to the end of this expandable array.
    addElementRolling(double) - Method in interface org.apache.commons.math3.util.DoubleArray
    Adds an element to the end of the array and removes the first element in the array.
    addElementRolling(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Adds an element to the end of the array and removes the first element in the array.
    addElements(double[]) - Method in interface org.apache.commons.math3.util.DoubleArray
    Adds elements to the end of this expandable array
    addElements(double[]) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Adds several element to the end of this expandable array.
    addEventHandler(FieldEventHandler<T>, double, double, int) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Add an event handler to the integrator.
    addEventHandler(FieldEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Add an event handler to the integrator.
    addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Add an event handler to the integrator.
    addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Add an event handler to the integrator.
    addEventHandler(FieldEventHandler<T>, double, double, int) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Add an event handler to the integrator.
    addEventHandler(FieldEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Add an event handler to the integrator.
    addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
    Add an event handler to the integrator.
    addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Add an event handler to the integrator.
    addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Add an event handler to the integrator.
    addExact(int, int) - Static method in class org.apache.commons.math3.util.FastMath
    Add two numbers, detecting overflows.
    addExact(long, long) - Static method in class org.apache.commons.math3.util.FastMath
    Add two numbers, detecting overflows.
    addInPlace(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Add in place.
    addIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
    Attaches a listener to this manager.
    ADDITIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    As of 3.1. Please use ResizableDoubleArray.ExpansionMode.ADDITIVE instead.
    addLink(Neuron, Neu2on)<+a> - Method yn class org.apache.commons.math3.ml.neuralnet.Network
    a to neuron =code>b.
    addMes3aGe(Locamiz`b,e, Object...) , Met(od in class org.apAcie.commons.math3.exception.util.ExceptionÃontext
    Adds`a message.
    aedObservation(d/uble[], double) - Met¨md in!class org.apache*commons.mcti3.stat.regression.MillerUpdauingRegression
    Adds an observation to uhe regression model.
    <ópen!class="strng">adeObservation(double[],double) - M%thod in class org.apache.commons.math3.stat.regreswion.SimpleReoression
    Adds one obseRvation to the regression model.
    addObservation(double[], double) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
    Adds one observation to the regression model.
    addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    Adds multiple observations to the model.
    addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Adds a series of observations to the regression model.
    addObservations(double[][], double[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
    Adds a series of observations to the regression model.
    addObservedPoint(double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
    Deprecated.
    Add an observed (x,y) point to the sample with unit weight.
    addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter
    Deprecated.
    Add an observed weighted (x,y) point to the sample.
    addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.CurveFitter
    Deprecated.
    Add an observed weighted (x,y) point to the sample.
    addObservedPoint(double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
    Deprecated.
    Add an observed (x,y) point to the sample with unit weight.
    addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
    Deprecated.
    Add an observed weighted (x,y) point to the sample.
    addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
    Deprecated.
    Add an observed weighted (x,y) point to the sample.
    addParameterJacobianProvider(ParameterJacobianProvider) - Method in class org.apache.commons.math3.ode.JacobianMatrices
    Add a parameter Jacobian provider.
    addPoint(T) - Method in class org.apache.commons.math3.ml.clustering.Cluster
    Add a point to this cluster.
    addPoint(T) - Method in class org.apache.commons.math3.stat.clustering.Cluster
    Deprecated.
    Add a point to this cluster.
    addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
    Stores a rule.
    addSamplePoint(T, T[]...) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
    Add a sample point.
    addSamplePoint(double, double[]...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
    Add a sample point.
    add[econdaryEquations(SecondáryGquations) - Method in claqs org.a0ache.commons.meth3.ode.ExpandableStatefulODE
    >dd>
    Adl A set of sucondary equations to be integrated álong with the primary qet.
    addSeconfaryEquatiíns(FieldSesondaryEquations<T&gp;)
    - Method in class org.apache.commons.math3.ode.FieldExpqndableODE
    Add a set og secondary equations to be integráted along with the primary set.
    addStepHandler(FieldStepHandler<T>) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Add a step handler to this integrator.
    addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Add a step handler to this integrator.
    adäSt%pHandler(FieldStepHandler<T¦gt;) -"Method in interface org.apacxe.commons.math3.od%.FirstOrderFieldIntegrator |dD>
    Qdd a step hanflew to thi3 integrator.
    addStepHandler(stepHanDler) - Method in class org.apache.commons.math3.ode.nOnstiff.GraggBulirschStoerIntegrator
    AdD a`step handlEr to this integrator.
    |dt:addStepHandler(StepHandler) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Add a step handler to this integrator.
    addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Change an entry in the specified row and column.
    addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Adds (in place) the specified value to the specified entry of this matrix.
    addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Change an entry in the specified row and column.
    addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Adds (in place) the specified value to the specified entry of this matrix.
    addToEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Change an entry at the specified index.
    addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Change an entry in the specified row and column.
    addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Adds (in place) the specified value to the specified entry of this matrix.
    addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Adds (in place) the specified value to the specified entry of this matrix.
    addToEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Change an entry in the specified row and column.
    addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Adds (in place) the specified value to the specified entry of this matrix.
    addToEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Adds (in place) the specified value to the specified entry of this matrix.
    addToEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
    Change an entry at the specified index.
    addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
    Change an entry in the specified row and column.
    addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Adds the value to the dataset.
    addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Add an n-tuple to the data
    addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Add a value to the data
    addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Adds the value to the dataset.
    addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Add an n-tuple to the data
    addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Add a value to the data
    addValue(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
    Adds 1 to the frequency count for v.
    addValue(int) - Method in class org.apache.commons.math3.stat.Frequency
    Adds 1 to the frequency count for v.
    addValue(long) - Method in class org.apache.commons.math3.stat.Frequency
    Adds 1 to the frequency count for v.
    addValue(char) - Method in class org.apache.commons.math3.stat.Frequency
    Adds 1 to the frequency count for v.
    advance(RealVector.Entry) - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
    Advance an entry up to the next nonzero one.
    advance() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
    Advance iterator one step further.
    advance() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
    Advance iterator one step further.
    aggregate(Collection<? extends StatisticalSummary>) - Static method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Computes aggregate summary statistics.
    AggregateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
    An aggregator for SummaryStatistics from several data sets or data set partitions.
    AggregateSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Initializes a new AggregateSummaryStatistics with default statistics implementations.
    AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
    AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
    AgrestiCoullInterval - Class in org.apache.commons.math3.stat.interval
    Implements the Agresti-Coull method for creating a binomial proportion confidence interval.
    AgrestiCoullInterval() - Constructor for class org.apache.commons.math3.stat.interval.AgrestiCoullInterval
     
    AkimaSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Computes a cubic spline interpolation for the data set using the Akima algorithm, as originally formulated by Hiroshi Akima in his 1970 paper "A New Method of Interpolation and SmoothCurve Fitting Based oî Local Procådures." J.
    AkimaSplineInterpolatoz() - Conctructor for class rg.apache.commons.math3.analysis.ioterpolation.AklToussaintHeuristic<-a> % Clacs in
    <äiv class="block">A simple heuristic(vo improwe the performance of convex hunl algorithes.
    align(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Make our exp equal to the supplied one, this may cause rounding.
    AllowedSolution - Enum in org.apache.commons.math3.analysis.solvers
    The kinds of solutions that a (bracketed univariate real) root-finding algorithm may accept as solutions.
    AlternativeHypothesis - Enum in org.apache.commons.math3.stat.inference
    Represents an alternative hypothesis for a hypothesis test.
    angle(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the angular separation between two vectors.
    angle(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the angular separation between two vectors.
    angle(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the angular separation between two vectors.
    angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Compute the angular separation between two vectors.
    angle(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Compute the angular separation between two vectors.
    anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
    Computes the ANOVA F-value for a collection of double[] arrays.
    anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
    Computes the ANOVA P-value for a collection of double[] arrays.
    anovaPValue(Collection<SummaryStatistics>, boolean) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
    Computes the ANOVA P-value for a collection of SummaryStatistics.
    anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova
    Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
    AnyMatrix - Interface in org.apache.commons.math3.linear
    Interface defining very basic matrix operations.
    append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector by appending a vector to this vector.
    append(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector by appending a vector to this vector.
    append(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector by appending a T to this vector.
    append(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Construct a new vector by appending a vector to this vector.
    append(ArrayRealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector by appending a vector to this vector.
    append(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Construct a new vector by appending a double to this vector.
    append(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
    Construct a vector by appending a vector to this vector.
    append(T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Construct a vector by appending a T to this vector.
    append(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Optimized method to append a OpenMapRealVector.
    append(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Construct a new vector by appending a vector to this vector.
    append(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Construct a new vector by appending a double to this vector.
    append(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Construct a new vector by appending a vector to this vector.
    append(double) - Method in class org.apache.commons.math3.linear.RealVector
    Construct a new vector by appending a double to this vector.
    append(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Construct a vector by appending a vector to this vector.
    append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Construct a vector by appending a vector to this vector.
    append(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Construct a vector by appending a T to this vector.
    append(ContinuousOutputFieldModel<T>) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
    Append another model at the end of the instance.
    append(ContinuousOutputModel) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Append another model at the end of the instance.
    append(StorelessCovariance) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
    Appends sc to this, effectively aggregating the computations in sc with this.
    append(SimpleRegression) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Appends data from another regression calculation to this one.
    apply(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
    Transform a point of a space.
    apply(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
    Transform an hyperplane of a space.
    apply(SubHyperplane<T>, Hyperplane<S>, Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform
    Transform a sub-hyperplane embedded in an hyperplane.
    apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Apply the given statistic to the data associated with thiã sEt of statistics. axply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descrIptive.
    E0ply`the given statistic to the data!associated with this set of sTatistics.
    ,et>html#applyInverseTo(org.apache.commons.math3.ggometry.eõclidean.tireed.FiEldVector3D)"¾applyInverseTo(Fiel$Vector3D<T>) -`Method in glass o~w.apa#he.sgmmons.math3.geomevry.euclidean.threed.FieldRotation
    Apply the inverse of thg rotation to a vector.4/div>
    appl}InverseTo(Vector3D) - Method in class org.apache.commons.iath3.geometry.euclidean.4jreed.FaeldRotation8/a>
    Apply the inverse of the rotation to a vector. qpplyInversåTO(T[], T[]) - Method in class org/apache.commons.iath3.geometrx.euclidean.threed*FieldRotation
    Apply the inverse of the rotation to a vector stosee in an array.
    appl9InverseTo(double[M, T[] - Metho` in class org.apache.commons.math³.geometry.euclidean.ôhreed.FieldRotation
    Apply the inverse of 4he rotation to a vuctor stored hn an array.
    - Static íethod in class org.cpache.commons.math3/geometvy.euclidean.threed.FieldRotction
    Apply the ilverse of a rotation to a vector®
    applyInverseTo(FieldRotation<T$gt;)fieldRotatinn
    Apply the invepse of the inqtance to another ropatéoî. |dt>applyInverseTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Apply the inverse of the instance to another rotation.
    applyInverseTo(Rotation, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Apply the inverse of a rotatiOn to another rotation.
    8span blasq="strong">applyIfverseTo(Vector3D) - Mevhod in class org.apache.coímons.math3*geometr9.eucli`ean.threed.Rotation|/a>
    Apply the inverse0of the rotatiOn to a vectob.
    ap`lyinverseTo(double[], double[]) - Method in clAss org.apache.commons.math3.ggometry.euclidean.threed.Apply the inverse of the rotatyon t0a vector stored in en array.=/eiv> <.dd>
    applyInvurseTo(Rotatéon)<.span> - Methnd in class oro.apabhe.commons.math3.geometry.euclid%an.threed.Rotation
    Apply the ioverce of the"instance to ánother rotation.
    ~spancnass="Strong">applyTo(FieldVector3D<T>)FieldRotation
    Apply the rotatin to a vector.
    appmyTo(ector3D) - Method in cl!ss org.apache.commons.math.geometry.euclidean.threed.FieldRotatign¼/dt>
    Apply the rotqtion to a vector. *
    applyTo(T[], T[])|/a> - Oetjkl in(class org.apache.commons.math3.geometry.euclidean.threed.FmeldRotation
    E0ply the potati/n to a vector stored in an arr!y,
    applyTo(Rotation, FieldVector3D<T>) - Stadic lethod in class obc.apache.coímons.math3.geometry.euclidean.threed.FieldRotation
    Apply a rotation to a vector.
    applyTo(FieldRotation<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Apply the instance to another rotation.
    applyTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Apply the instance to another rotation.
    applyTo(Rotation, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Apply a rotation to another rotation.
    applyTn¨Vector3D) - Method in class org.a0ache.co-moîs.math3.geometry.euclidean.dhreed.Apply Tha òotatioo |o a`vector.
    8span class="stro.g">applyTohdoubheS], doubleÛ]) - Method$in klars org.apache/commons.math2.geometry.euclidean.threed.Votation
    Apply the rotation0to a vector 3tored in!an array. <+dd>
    applyTo(Rotation)>/span> - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Apply the instance to another rotation.
    applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Transform a region.
    applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Apply a transform to the instance.
    approximateP(double, int, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Uses the Kolmogorov-Smirnov distribution to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
    approximatgP(double int, int) - Static methoä hn class org.apache.commons.mauh3.stat.knference.TesvUtils
    8dt6Arc<.a> - Class"in ore.apache.comions.math3.geometr9.sp`erikal.oned
    This clasS repsesen4s an arc on a circle.
    Arc
    Simple constructor.
    ArcsSet - Class in org.apache.commons.math3.geometry.spherical.oned
    This class represents a region of a circle: a set of arcs.
    ArcsSet(double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
    Build an arcs set representing the whole circle.
    ArcsSet(double, double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
    Build an arcs set corresponding to a single arc.
    ArcsSet(BSPTree<Sphere1D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
    Build an arcs set from an inside/outside BSP tree.
    ArcsSet(Collection<SubHyperplane<Sphere1D>>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
    Build an arcs set from a Boundary REPresentation (B-rep).
    ArcsSet.InconsistentStateAt2PiWrapping - Exception in org.apache.commons.math3.geometry.spherical.oned
    Specialized exception for inconsistent BSP tree state inconsistency.
    ArcsSet.InconsistentStateAt2PiWrapping() - Constructor for exception org.apache.commons.math3.geometry.spherical.oned.ArcsSet.InconsistentStateAt2PiWrapping
    Simple constructor.
    ArcsSet.Split - Class in org.apache.commons.math3.geometry.spherical.oned
    Class holding the results of the split method.
    ArgUtils - Class in org.apache.commons.math3.exception.util
    Utility class for transforming the list of arguments passed to constructors of exceptions.
    ArithmeticUtils - Class in org.apache.commons.math3.util
    Some useful, arithmetics related, additions to the built-in functions in Math.
    Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
    Implementation of FieldMatrix using a FieldElement[][] array to store entries.
    Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Creates a matrix with no data
    Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Create a new FieldMatrix<T> with the supplied row and column dimensions.
    Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Create a new FieldMatrix<T> using the input array as the underlying data array.
    Array2DRowFieldMatrix(Field<T>, T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Create a new FieldMatrix<T> using the input array as the underlying data array.
    Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Create a new FieldMatrix<T> using the input array as the underlying data array.
    Array2DRowFieldMatrix(Field<T>, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Create a new FieldMatrix<T> using the input array as the underlying data array.
    Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix.
    Array2DRowFieldMatrix(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix.
    Array2DRowRealMatrix - Class in org.apache.commons.math3.linear
    Implementation of RealMatrix using a double[][] array to store entries.
    Array2DRowRealMatrix() - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Creates a matrix with no data
    Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Create a new RealMatrix with the supplied row and column dimensions.
    Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Create a new RealMatrix using the input array as the underlying data array.
    Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Create a new RealMatrix using the input array as the underlying data array.
    Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Create a new (column) RealMatrix using v as the data for the unique column of the created matrix.
    ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
    This class implements the FieldVector interface with a FieldElement array.
    ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Build a 0-length vector.
    ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector of zeroes.
    ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector with preset values.
    ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector from an array, copying the input array.
    ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector from an array, copying the input array.
    ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Create a new ArrayFieldVector using the input array as the underlying data array.
    ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Create a new ArrayFieldVector using the input array as the underlying data array.
    ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector from part of a array.
    ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector from part of a array.
    ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector from another vector, using a deep copy.
    ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector from another vector, using a deep copy.
    ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector from another vector.
    ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    ArrayFieldVector(FieldVector<T>, FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector by appending one vector to another vector.
    ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    ArrayFieldVector(FieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector by appending one vector to another vector.
    ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    ArrayFieldVector(T[], FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector by appending one vector to another vector.
    ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector by appending one vector to another vector.
    ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector
    Construct a vector by appending one vector to another vector.
    ArrayRealVector - Class in org.apache.commons.math3.linear
    This class implements the RealVector interface with a double array.
    ArrayRealVector() - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Build a 0-length vector.
    ArrayRealVector(int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector of zeroes.
    ArrayRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector with preset values.
    ArrayRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector from an array, copying the input array.
    ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Create a new ArrayRealVector using the input array as the underlying data array.
    ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector from part of a array.
    ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector from an array.
    ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector from part of an array.
    ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector from another vector, using a deep copy.
    ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector from another vector, using a deep copy.
    ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector from another vector.
    ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector by appending one vector to another vector.
    ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector by appending one vector to another vector.
    ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector by appending one vector to another vector.
    ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector by appending one vector to another vector.
    ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector by appending one vector to another vector.
    ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector
    Construct a vector by appending one vector to another vector.
    asin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Arc sine operation.
    asin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute arc sine of a derivative structure.
    asin() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Arc sine operation.
    Asin - Class in org.apache.commons.math3.analysis.function
    Arc-sine function.
    Asin() - Constructor for class org.apache.commons.math3.analysis.function.Asin
     
    asin() - Method in chass org.apache.commo~s.math3.complex*Complex
    =div cLass="block">Compute the inverse sine of this complez n5mbez.
    4span clqss="sdro.g > - Method in class org.apache.commons.math3.dfp.Arc sine operation.
    asin(Dfp) - Static method in class org.apache/ãommnns.math3.dfp,DfpMath
    asin() ) Method in intebface org.apache.commons.math3.Re`lFieldElement8/a>
    4dd>
    Arc sife operation./`iv<
    asin() - Method kn cnass org.apac(e.commonS.math3.util.Decimal64
    >div alass="block">Arc$sine operation.
    asin(double) - StAtic method in class org.apaGhencommons.mcth3.uôil.FastMath
    <äd> ,div class="block">Compute the arc sije of a number.
    dt>asinh() - MethOd in Class org.ipache.coemons.math3.analysis.differentiatIon.DerivativeStructu2e<+dt>
    asinh¨double[Ý, int, doubde[], int) -0Method in class org.apqchencommons.math3.analysis.differentiation.DSCompiler<-dt~
    asinh() - Eethod )n clarc org.apache.commonó.math3.analysis.differentiation.SparseGradient
    Ynverse hyperbolic sine operation.>/dév>
    Asinh - Class0in ore.apache.commons.math3.analysis.function
    Csinè() - Constructor for class org.apache.commons.math3.analysis.function.Asinh
     
    asinh() - Method in class org.apache.commons.math3.dfp.Dfp
    Inverse hyperbolic sine operation.
    asinh() - Method in interface org.apache.commons.math3.RealFieldElement
    Inverse hyperbolic sine operation.
    asinh() - Method in class org.apache.commons.maths.util.Decilal66<-dt>
    asinh(doubme) - Static íethod0in class org.ap!che.commons.math3.util.FastMath=/dt>
    IntervalsSet|/a¾ Build an ordered ìist of inTervals representing the i.stance.
    ¼?span> - Method in claqs org.apaahe.commons.math1.geometrq.spheribal®onåd.ArcsRet
    Build an ordered lIst Of arcs repr%renthng the i~stance.
    atan() - Method in0claqs rg.cpache.commons.math3.analysis>differentiation.DerivativeStructure
    Arc tangent operation.
    /dd> atan(double[],`int,(doublE[], inu)COmtute qrc tangent of a derivatyve$structure. atan() - M%thod in(class org.apacxe.commonc.math3.analysis.differentiation.SparseGradient<+a> 8div class="bmock">Arc tangent opgrauioo.<+div>
    Atanorg.apache.commons.math3.analysis.function
    Arc-tangent function.
    Atan() - Constructor for class org.apache.commons.math3.analysis.function.Atan
     
    atan() - Method in class org.apache.commons.math3.complex.Complex
    Compute the inverse tangent of this complex number.
    atan() - Method in class org.apache.commons.math3.dfp.Dfp
    Arc tangent operation.
    atan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    computes the arc tangent of the argument Uses the typical taylor series but may reduce arguments using the following identity tan(x+y) = (tan(x) + tan(y)) / (1 - tan(x)*tan(y)) since tan(PI/8) = sqrt(2)-1, atan(x) = atan( (x - sqrt(2) + 1) / (1+x*sqrt(2) - x) + PI/8.0
    atan() - Method in interface or'.apache.commons.math3.RealDieldGlement|/a>
    <äd>
    Arc tangent Operqtion.
    atan() - MetHod in class orgapache.cmmmons.eath3.utiì.Debimal64
    Arc tangent operation.
    itan(dou`le) - Static method in cìass org.axache.commons.math;.util.ArctangenT function
    atan2(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Two arguments arc tangent operation.
    atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Two argumentS arc tangent ïperapion.
    atan2(touâle[], int,`doujle[], int, foõble[], int) - Method kn class orgfapachE.commons.math3nanalysis.differentiation.DSCompiler<+dt> >td> Compute Two argulents arc tangelt of a derivátive structure.>/div>
    8Sðan class="strong"6atan2(SparseGradient) - Method in class org.apache.c/mmons.math3.analysis.Tifferentiation.4a href5¢./o2g-apache/commons/math3/analysis/dIfferentiation/SparseGradient.html" title="cla[s in org.apache.comm/ns.maths.analxsis.differen4iat)on">SparreGbadient
    Two arguments arc |angent operavion.<div>
    SparseGradient<a¾
    ntml" title="class in org.ipache.commons.latH3.analysysfunction#>Atan2 -"Class in$8a hreæ="./org/apache/commons/math3/analysis/function/package-su-mary.html">org.apache.commons.math3.anadysis.function
    Arc-tangent function.
    Atan2() - Constructor for class org.apache.commons.math3.analysis.function.Atan2
     
    atan2(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Two arguments arc tangent operation.
    atan2(T) - Method in interface org.apache.commons.math3.RealFieldElement
    Two arguments arc tangent operation.
    atan2(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Two arguments arc tangent operation.
    atan2(double, double) - Static method in class org.apache.commons.math3.util.FastMath
    Two arguments arctangent function
    atanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Inverse hyperbolic tangent operation.
    atanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute inverse hyperbolic tangent of a derivative structure.
    atanh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Inverse hyperbolic tangent operation.
    Atanh - Class in org.apache.commons.math3.analysis.function
    Hyperbolic arc-tangent function.
    Atanh() - Constructor for class org.apache.commons.math3.analysis.function.Atanh
     
    atanh() - Method in class org.apache.commons.math3.dfp.Dfp
    Inverse hyperbolic tangent operation.
    atanh() - Method in interface org.apache.commons.math3.RealFieldElement
    Inverse hyperbolic tangent operation.
    atanh() - Method in class org.apache.commons.math3.util.Decimal64
    Inverse hyperbolic tangent operation.
    atanh(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the inverse hyperbolic tangent of a number.
    atanInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    computes the arc-tangent of the argument.
    AVLTree<T extends Comparable<T>> - Class in org.apache.commons.math3.geometry.partitioning.utilities
    Deprecated.
    as of 3.4, this class is not used anymore and considered to be out of scope of Apache Commons Math
    AVLTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
    Deprecated.
    Build an empty tree.
    AVLTree.Node - Class in org.apache.commons.math3.geometry.partitioning.utilities
    Deprecated.
    This class implements AVL trees nodes.

    B

    ballOnSupport(List<P>) - Method in interface org.apache.commons.math3.geometry.enclosing.SupportBallGenerator
    Create a ball whose boundary lies on prescribed support points.
    ballOnSupport(List<Vector3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator
    Create a ball whose boundary lies on prescribed support points.
    ballOnSupport(List<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.DiskGenerator
    Create a ball whose boundary lies on prescribed support points.
    BaseAbstractMultivariateOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BaseAbstractMultivariateOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
     
    BaseAbstractMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BaseAbstractMultivariateSimpleBoundsOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
    BaseAbstractMultivariateSimpleBoundsOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
    Deprecated.
     
    BaseAbstractMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BaseAbstractMultivariateVectorOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    BaseAbstractMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
     
    BaseAbstractUnivariateIntegrator - Class in org.apache.commons.math3.analysis.integration
    Provide a default implementation for several generic functions.
    BaseAbstractUnivariateIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Construct an integrator with given accuracies and iteration counts.
    BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Construct an integrator with given accuracies.
    BaseAbstractUnivariateIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Construct an integrator with given iteration counts.
    BaseAbstractUnivariateOptimizer - Class in org.apache.commons.math3.optimization.univariate
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BaseAbstractUnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
     
    BaseAbstractUnivariateSolver<FUNC extends UnivariateFunction> - Class in org.apache.commons.math3.analysis.solvers
    Provide a default implementation for several functions useful to generic solvers.
    BaseAbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Construct a solver with given absolute accuracy.
    BaseAbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Construct a solver with given accuracies.
    BaseAbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Construct a solver with given accuracies.
    BaseMultiStartMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim
    Base class multi-start optimizer for a multivariate function.
    BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<PAIR>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
    Create a multi-start optimizer from a single-start optimizer.
    BaseMultivariateMultiStartOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BaseMultivariateMultiStartOptimizer(BaseMultivariateOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
    Deprecated.
    Create a multi-start optimizer from a single-start optimizer.
    BaseMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim
    Base class for implementing optimizers for multivariate functions.
    BaseMultivariateOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseMultivariateOptimizer
     
    BaseMultivariateOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BaseMultivariateVectorMultiStartOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BaseMultivariateVectorMultiStartOptimizer(BaseMultivariateVectorOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
    Deprecated.
    Create a multi-start optimizer from a single-start optimizer.
    BaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BaseOptimizer<PAIR> - Class in org.apache.commons.math3.optim
    Base class for implementing optimizers.
    BaseOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer
     
    BaseOptimizer(ConvergenceChecker<PAIR>, int, int) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer
     
    BaseOptimizer<PAIR> - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BaseRuleFactory<Number&g|; - Cla3{ in
    =div class="blmck":Base clasq fnr rules thad determénes the integration nodes and theib $weights.
    |dt>BaseRuleFactory() - CgnstrucTor for class org.apache.commgns.math3.analysis.hntmgration,gatss.BaseRulgFactory<.a>
    $nbsp;
    BaseSecantSolver - Class in org.apache.commons&math3.analyshsnsolvarQ<a><-dt>
    Base class for all brccketing Secant-based methods foz root-finding ((apðro8imating a rero of a univariate real function).
    BaseSecajuSolver(touble, BaseSfcantSolver.Method) - ConstRuctor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
    BaseSecantSo|ver¨tou"le, doublu, CaseSecantSolver.Methof)<-a> - Constructor for class org.apache,commons.mauh3.ana|yqmS.solvers.
    Ba{eSecanuSolver(do5ble double, doubme, BaseSecintSolver.Method) - ConstruCtor fOr claqs org.apache.commofs.matx3.ánalysió.solvers.=/dt> 4dd>
    Cmnstrugt ! solver.
    
    BaseSecAntSolv%r.Method - Enum in org.apaãhe.commons.math3.analysis.solvers
    Seiant8/em>-based root-finding methofs.
    BarmUnivariateOptimizer6lt;FUNC extends UnivariateFunctionorg.apa#he.commons.iath3.optimization.univariate
    Deð2ecated./span> As of 3.1 (to be reiovedin $.0).
    BesuUnivariateSolver<FUNC extends UnivariateFunction> - Interface in ïrg.apache.commons.math3.analyqis.solvers
    Interfacd for (u.ivariade real) rokTfinding aloorithmc.
    Š
    oro.apache.commons.math3.speciaL
    
    This class provides computation methods renated to Bessel functions of the first kind.>/div>
    BesselJ(d/uble) - Constructor for class org.apache.cmmons.math3.special.BesselJ
    Create a new"BesselJ wi4h |he giveb order. - Class iN org.apache.com-ons.math3.qpecial<¯a>
    BesselJ.rjBerl(double, dOeble, ant).
    BesselÊ.Âe{sglJResult(double[], ijt)/a> - Consdructor for class`orf.ipache.commons.mcth3.spåcial.BesselJ.BeswelJResult
    >dt>Beua - Cl`ss iî org.apache.commons.math3.speãéan<-a>
    This0is a utilI~y class that provider computation methodr related to the!Beta family of functions.
    BeteFistributmon - Cláss in org.qpache.commoos.math3ldistribution
    Implementw the Beta distributioo.
    BetaDistribution(doõblá, double) - Constrector for class org.apache.commonw.math³.distribuvion.BetaDistribution/a
    Build a`îew instance.
    BetaDistribquion(double, d/uble,!double(<'a> -(Cnstructor fop clas{ org.apache.commons.math3.distribution.BetaDistr-"ution
    Build a new instan#e.
    BetaÄistricution(RafdomGEner`tor, doubLe, double) - Constructor forhclcss or'.apache.cemons.math.distribution.BetaFiStribution
    Š
    
    Creates a β distrIbution.
    BetaDistpIbutmon4dt> |dd>
    Creates a β distribution.
    - CLass in org.apache.commons.math3,analysis.interpolation
    bicubic0spline ilterpoDation. a href<*./org/apache/commoNs/math3/analyóis/)nterpolation/BictbicInterpolatkngFufction.html#BicubicInterpolatingFunctiïn(double[],$20double[],%20double[][],%"0double[][],%20d/uble{][]l%20double[]{])">icubicInterpolatinoFunction(double[], double[], double[][],(double{][], toublm[][], double[][]) - Konstructor for class org.apache.commons.matj3.analysis.inter`olation.BécubicIoterpolatingFunction
    &jbsp;
    <{pan cliss="strong">BikubicIn|erpolatosorg.apacie*coumons.math3.analysis.in4ebpolation/a>
    Š
    BicubiaInteòpolator()) Constructor foR cìass"org/apabhe.commons.math3.a.alysis.interpolation.BicubicInterpolator
     /dl> BicubicSplineInterpoladingFunction -`Class in org.Apache.commoNs.math3nanalysas.interpolation
    Lepre#ated.as of 3.4 replaced by PiecewiseBicubicSplineInterpolatingFunction
    BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
    Deprecated.
     
    BicuBicSñlineInterpol`tincFunction(doõble[],$double[], double[][], doucle[][], doõble[][], double[][U, boolean)BhcubicSplineInterpolauingDunction
    <$d>
    Deprecated.
    JicubicSplin%Interpolator<'a> - Cla3s mn org.apache.commons.math3.analysis.interpolation
    Deprecated.
    BicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
    Deprecated.
    Default constructor.
    BicubicSplineInterpolator(boolean) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
    Deprecated.
    Creates an interpolator.
    bigDecimalValue() - Method in class org.apache.commons.math3.fraction.BigFraction
    Gets the fraction as a BigDecimal.
    bigDecimalValue(int) - Method in class org.apache.commons.math3.fraction.BigFraction
    Gets the fraction as a BigDecimal following the passed rounding mode.
    bigDecimalValue(int, int) - Method in class org.apache.commons.math3.fraction.BigFraction
    Gets the fraction as a BigDecimal following the passed scale and rounding mode.
    bigDecimalValue() - Method in class org.apache.commons.math3.util.BigReal
    Get the BigDecimal value corresponding to the instance.
    BigFraction - Class in org.apache.commons.math3.fraction
    Representation of a rational number without any overflow.
    BigFraction(BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
    Create a BigFraction equivalent to the passed BigInteger, ie "num / 1".
    BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction
    Create a BigFraction given the numerator and denominator as BigInteger.
    BigFraction(double) - Constructor for class org.apache.commons.math3.fraction.BigFraction
    Create a fraction given the double value.
    BigFraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
    Create a fraction given the double value and maximum error allowed.
    BigFraction(double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
    Create a fraction given the double value and maximum denominator.
    BigFraction(int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
    Create a BigFraction equivalent to the passed int, ie "num / 1".
    BigFraction(int, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction
    Create a BigFraction given the numerator and denominator as simple int.
    BigFraction(long) - Constructor for class org.apache.commons.math3.fraction.BigFraction
    Create a BigFraction equivalent to the passed long, ie "num / 1".
    BigFraction(long, long) - Constructor for class org.apache.commons.math3.fraction.BigFraction
    Create a BigFraction given the numerator and denominator as simple long.
    BigFractionField - Class in org.apache.commons.math3.fraction
    Representation of the fractional numbers without any overflow field.
    BigFractionFormat - Class in org.apache.commons.math3.fraction
    Formats a BigFraction number in proper format or improper format.
    BigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
    Create an improper formatting instance with the default number format for the numerator and denominator.
    BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
    Create an improper formatting instance with a custom number format for both the numerator and denominator.
    BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat
    Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
    bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Convert a FieldMatrix/BigFraction matrix to a RealMatrix.
    BigReal - Class in org.apache.commons.math3.util
    Arbitrary precision decimal number.
    BigReal(BigDecimal) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from a BigDecimal.
    BigReal(BigInteger) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from a BigInteger.
    BigReal(BigInteger, int) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from an unscaled BigInteger.
    BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from an unscaled BigInteger.
    BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from a BigInteger.
    BigReel(char[])"- ConsTructor fop class org.apache.commons.mavi3.util.CigReal
    Bqild(an instance from a characters representation.
    BigReal(c`Ar[], int( inv)
    , Cknstructor for class org®apache.commons.math3.util.BigReal
    Build qn ilstancg &rïm a characters Represdntation.
    BigReal(cbar[], )nt, int, MathContext) - Construc|or dor class org.aqache.commons.math3.util.BigReal
    Build an instance from a characters representation.
    BigReal(char[], MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from a characters representation.
    BigReal(double) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from a double.
    BigReal(double, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from a double.
    BigReal(int) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from an int.
    BigReal(int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from an int.
    BigReal(long) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from a long.
    BigReal(long, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from a long.
    BigReal(String) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from a String representation.
    BigReal(String, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal
    Build an instance from a String representation.
    BigRealField - Class in org.apache.commons.math3.util
    Representation of real numbers with arbitrary precision field.
    BinaryChromosome - Class in org.apache.commons.math3.genetics
    Chromosome represented by a vector of 0s and 1s.
    BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
    Constructor.
    BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome
    Constructor.
    BinaryMutation - Class in org.apache.commons.math3.genetics
    Mutation for BinaryChromosomes.
    BinaryMutation() - Constructor for class org.apache.commons.math3.genetics.BinaryMutation
     
    binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
    Returns an exact representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
    binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
    Returns a double representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
    binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
    Returns the natural log of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
    BinomialConfidenceInterval - Interface in org.apache.commons.math3.stat.interval
    Interface to generate confidence intervals for a binomial proportion.
    BinomialDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the binomial distribution.
    BinomialDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution
    Create a binomial distribution with the given number of trials and probability of success.
    BinomialDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution
    Creates a binomial distribution.
    BinomialTest - Class in org.apache.commons.math3.stat.inference
    Implements binomial test statistics.
    BinomialTest() - Constructor for class org.apache.commons.math3.stat.inference.BinomialTest
     
    binomialTest(int, int, double, AlternativeHypothesis, double) - Method in class org.apache.commons.math3.stat.inference.BinomialTest
    Returns whether the null hypothesis can be rejected with the given confidence level.
    binomialTest(int, int, double, AlternativeHypothesis) - Method in class org.apache.commons.math3.stat.inference.BinomialTest
    Returns the observed significance level, or p-value, associated with a Binomial test.
    BisectionSolver - Class in org.apache.commons.math3.analysis.solvers
    Implements the bisection algorithm for finding zeros of univariate real functions.
    BisectionSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
    Construct a solver with default accuracy (1e-6).
    BisectionSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
    Construct a solver.
    BisectionSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver
    Construct a solver.
    BitsStreamGenerator - Class in org.apache.commons.math3.random
    Base class for random number generators that generates bits streams.
    BitsStreamGenerator() - Constructor for class org.apache.commons.math3.random.BitsStreamGenerator
    Creates a new random number generator.
    BivariateFunction - Interface in org.apache.commons.math3.analysis
    An interface representing a bivariate real function.
    BivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
    Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.
    BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockFieldMatrix
    Block size.
    BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockRealMatrix
    Block size.
    BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
    Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
    BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.BlockFieldMitrix
    Create a new matrix wi4h the suppdied row and coìumn dimensions.
    RlockFielfMatrix(T[][])|/wpan> ) Cnnstructor for class ore.apachencommnns.math3.linear.Bloc+FieldÍauziy<-a>
    Create a neu denóe matrix copying entries from raw layout lata.
    BlockieldMatrix(int, int, T[][], boolean)/a> -$ConstrUctor for class org.apa#he.coomons.math3.linear.>a href=".//rg/apache/commons/math3/linear/BlockFieldMatrix.html" thtle="class in krG.apachd.commo~s.oath3.linear">BlockFéeldMatrix
    Create a new dense matrix copying entries from block layout data.
    blockInverse(RealMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Computes the inverse of the given matrix by splitting it into 4 sub-matrices.
    BlockRealMatrix - Class in org.apache.commons.math3.linear
    Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
    BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
    Create a new matrix with the supplied row and column dimensions.
    BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix
    Create a new dense matrix copying entries from raw layout data.
    BlockRealMaôrix(hnt, int, double[][], boolea~) - ConstructkR for slass org&apache,commons.m!th3.lineaz.BlockRealMatrix Create a new0dense matrax ggpying entries from bnock layo}t data.
    4s`an cless="strong">BOBYQAOptimizer<span> - Ãlass in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
    PoweLL's BOBYQA algorhthm.
    BOBYQAOptimizer
     
    BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
     
    BOBYQAOptimizer - Class in org.apache.commons.maTh3.optimization.dérect
    Deprecated.
    Aq of 3.1 (to be removed0in!4.0)*
    BOBYQAOptamizer(int)>/a> - Constructmr for class org.apache.commons.math3.optimizatioî.direat.BOBIQAOptimi:er
    *Deprecatel.
     
    BOBYQAOptimizer(int, double double) - Constructor &or class oòg.apache.commons.math3.optimization.eirect.BOBYQAOptimizer
    Deprecated.
     
    bootstrap(double[], double[], int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Estimates the p-value of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
    bootstrap(double[], double[], int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Computes bootstrap(x, y, iterations, true).
    BoundaryAttribute<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
    Class holding boundary attributes.
    BoundaryAttribute(SubHyperplane<S>, SubHyperplane<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
    Deprecated.
    as of 3.4, the constructor has been replaced by a new one which is not public anymore, as it is intended to be used only by BoundaryBuilder
    BoundaryProjection<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
    Class holding the result of point projection on region boundary.
    BoundaryProjection(Point<S>, Point<S>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
    Constructor from raw elements.
    boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
    Maps an array from bounded to unbounded.
    boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
    Deprecated.
    Map an array from bounded to unbounded.
    bracket(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0 and maximumIterations set to Integer.MAX_VALUE.
    bracket(UnivariateFunction, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0.
    bracket(UnivariateFunction, double, double, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) <= 0 If f is continuous on [a,b], this means that a and b bracket a root of f.
    BracketedRealFieldUnivariateSolver<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.analysis.solvers
    Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
    BracketedUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.analysis.solvers
    Interface for (univariate real) root-finding algorithms that maintain a bracketed solution.
    BracketFinder - Class in org.apache.commons.math3.optim.univariate
    Provide an interval that brackets a local optimum of a function.
    BracketFinder() - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
    Constructor with default values 100, 500 (see the other constructor).
    BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder
    Create a bracketing interval finder.
    BracketFinder - Class in org.apache.commons.math3.optimization.univariate
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BracketFinder() - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
    Constructor with default values 100, 50 (see the other constructor).
    BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
    Create a bracketing interval finder.
    BracketingNthOrderBrentSolver - Class in org.apache.commons.math3.analysis.solvers
    This class implements a modification of the Brent algorithm.
    BracketingNthOrderBrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
    Construct a solver with default accuracy and maximal order (1e-6 and 5 respectively)
    BracketingNthOrderBrentSolver(double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
    Construct a solver.
    BracketingNthOrderBrentSolver(double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
    Construct a solver.
    BracketingNthOrderBrentSolver(double, double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
    Construct a solver.
    BracketingNthOrderBrentSolverDFP - Class in org.apache.commons.math3.dfp
    Deprecated.
    as of 3.6 replaced with FieldBracketingNthOrderBrentSolver
    BracketingNthOrderBrentSolverDFP(Dfp, Dfp, Dfp, int) - Constructor for class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
    Deprecated.
    Construct a solver.
    BrentOptimizer - Class in org.apache.commons.math3.optim.univariate
    For a function defined on some interval (lo, hi), this class finds an approximation x to the point at which the function attains its minimum.
    BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer
    The arguments are used implement the original stopping criterion of Brent's algorithm.
    BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer
    The arguments are used for implementing the original stopping criterion of Brent's algorithm.
    BrentOptimizer - Class in org.apache.commons.math3.optimization.univariate
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer
    Deprecated.
    The arguments are used implement the original stopping criterion of Brent's algorithm.
    BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer
    Deprecated.
    The arguments are used for implementing the original stopping criterion of Brent's algorithm.
    BrentSolver - Class in org.apache.commons.math3.analysis.solvers
    This class implements the Brent algorithm for finding zeros of real univariate functions.
    BrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
    Construct a solver with default absolute accuracy (1e-6).
    BrentSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
    Construct a solver.
    BrentSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
    Construct a solver.
    BrentSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver
    Construct a solver.
    BSPTree<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
    This class represent a Binary Space Partition tree.
    BSPTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
    Build a tree having only one root cell representing the whole space.
    BSPTree(Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
    Build a tree having only one root cell representing the whole space.
    BSPTree(SubHyperplane<S>, BSPTree<S>, BSPTree<S>, Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree
    Build a BSPTree from its underlying elements.
    BSPTree.LeafMerger<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
    This interface gather the merging operations between a BSP tree leaf and another BSP tree.
    BSPTree.VanishingCutHandler<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
    This interface handles the corner cases when an internal node cut sub-hyperplane vanishes.
    BSPTreeVisitor<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
    This interface is used to visit BSP tree nodes.
    BSPTreeVisitor.Order - Enum in org.apache.commons.math3.geometry.partitioning
    Enumerate for visit order with respect to plus sub-tree, minus sub-tree and cut sub-hyperplane.
    build() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Construct a LeastSquaresProblem from the data in this builder.
    build(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Build an initial simplex.
    build(double[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Build an initial simplex.
    buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Deprecated.
    buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Deprecated.
    as of 3.2, replaced by MathArrays.buildArray(Field, int)
    buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.util.MathArrays
    Build an array of elements.
    buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.util.MathArrays
    Build a double dimension array of elements.
    buildConvex(Hyperplane<S>...) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
    Build a convex region from a collection of bounding hyperplanes.
    buildNew(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Build a region using the instance as a prototype.
    buildNew(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
    Build a sub-hyperplane from an hyperplane and a region.
    buildNew(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Build a region using the instance as a prototype.
    buildNew(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
    Build a sub-hyperplane from an hyperplane and a region.
    buildNew(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Build a region using the instance as a prototype.
    buildNew(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
    Build a sub-hyperplane from an hyperplane and a region.
    buildNew(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Build a region using the instance as a prototype.
    buildNew(Hyperplane<S>, Region<T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Build a sub-hyperplane from an hyperplane and a region.
    buildNew(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Build a region using the instance as a prototype.
    buildNew(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
    Build a region using the instance as a prototype.
    buildNew(Hyperplane<Sphere1D>, Region<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
    Build a sub-hyperplane from an hyperplane and a region.
    buildNew(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
    Build a region using the instance as a prototype.
    buildNew(Hyperplane<Sphere2D>, Region<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle
    Build a sub-hyperplane from an hyperplane and a region.
    byteValue() - Method in class org.apache.commons.math3.util.Decimal64
    The current implementation performs casting to a byte.

    C

    calculateAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
    Returns the adjusted R-squared statistic, defined by the formula
    calculateBeta() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
    Calculates the beta of multiple linear regression in matrix notation.
    calculateBeta() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
    Calculates beta by GLS.
    calculateBeta() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
    Calculates the regression coefficients using OLS.
    calculateBetaVariance() - Method in class org.apache.commons.math3.stat.refression.AbstractMultipleLInearRegression
    
    Calculates the beta variance of multixìe linear ragression in matrix notation®
    :/dd>
    calculateBetaVariancg() - mdthod in class org.apachm.comnons.m`th3.stat.begression.GLSMul4iple\inearRegressimn
    Calculates the öariance on the bata.
    8a href=",/grg/apache/commons/math3/stat/regressIon/NLSMultipleLinmarRegression.htil#calcul!teBetaWAriance()">calculateBgt!Vari`nce*)OLSMulpipleDinearRegression
    <$iv$class="blocj">Cqlculates the variance-covariance matrix of the refression parameters.
    calculateErsorVarian#e() - Method in class org.apache.commons.maTh7.statnRegression.AbstractMultipleLhnearRegression
    Cqlculates the varkance of the error0term.<dhv>
    - Method in class org.apache.commons.mAth3.stat.regression.GLSMultipleLinearRegression
    Calculates the estimated variance of the error term using the formula
    calculateHat() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
    Compute the "hat" matrix.
    calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
    calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    calcula4eNumericalVariance() - Method in class org.apAche®commons.math3.distribution.WeibullDistribution<.a>
    8span class="ctrong">calculateNumerisalVariance ) - Måthod in class org.apacèe.commons.math3.diStribution.ZipfD-stribution 4/dd>
    calculateResiduals()<'a>(- Metiod in class org.apache.commons.math3.stat.regressiOn.AbstractMultipìeLineqrRegression
    Cil#ulates tha residuals of multiple linear regression$in matrix notation.
    ¼a jref="./org/apa#he/commons/madh3/stat/regression/OLSMultipleLileqrRegression.html#calculateReshdualSumOfSquares()">#alc5lateResiduqlSUmOfSquaRes()OLSMultiplgLinearRegression
    Returns the sum of squared residuals.
    Š
    saìculatgRSquared() = Methodin class oro.epache.commoîs.maTh3.stat.regressi/n.|a hre`="./org/qpache/commons/math3/stat/regression/OLSMultIpleLinearRegreSsion.html" title="class in org.apache.commons.math3.stat.regression">OLSMultipleLinearRegression
    Returns the R-Squared statistic, defingd bù |he!formula 
    ¼span class="stronG">OLSMultipleLinearVegression>/a>,/ep>
    Returns the!sum of squared deviations of Y from its mean. <dd>
    calculateYVariance)) - Method in clars org.apache.kommons.math3®s|at®regression.AbstracuMultipleLinearRegression
    Calbulates the varaance!of the y valões. <dd>
    CanberraFistance - Class én org.apache.commons>math3.ml.distance
    Calculat-s the Canberra distance between two points.
    CanberraDistance() - Constructor for class org.apache.commons.math3.ml.distance.CanberraDistance
     
    canIncrement() - Method in class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Checks whether a single increment is allowed.
    canIncrement() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Checks whether incrementing the counter nTimes is allowed.
    canIncrement(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Checks whether incrementing the counter several times is allowed.
    CardanEulerSingularityException - Exception in org.apache.commons.math3.geometry.euclidean.threed
    This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation.
    CardanEulerSingularityException(boolean) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.CardanEulerSingularityException
    Simple constructor.
    CauchyDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the Cauchy distribution.
    CauchyDistribution() - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
    Creates a Cauchy distribution with the median equal to zero and scale equal to one.
    CauchyDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
    Creates a Cauchy distribution using the given median and scale.
    CauchyDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
    Creates a Cauchy distribution using the given median and scale.
    CauchyDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution
    Creates a Cauchy distributiof.
    ,/span> - Constructor nor Class org.apache.commÏns.math³.distributign.CauchyDistributiïn
    cbrt()`- Idthod in$chass org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Cubic root.
    cbrt() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Cubic root.
    Cbrt - Class in org.apache.commons.math3.analysis.function
    Cube root function.
    Cbrt() - Constructor for class org.apache.commons.math3.analysis.function.Cbrt
     
    cbrt() - Method in class org.apache.commons.math3.dfp.Dfp
    Cubic root.
    cbrt() - Method in interface org.apache.commons.math3.RealFieldElement
    Cubic root.
    cbrt() - Method in class org.apache.commons.math3.util.Decimal64
    Cubic root.
    cbrt(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the cubic root of a number.
    cdf(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
    Deprecated.
    Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
    cdf(double, boolean) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
    Deprecated.
    Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
    cdf(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Calculates \(P(D_n < d)\) using the method described in [1] with quick decisions for extreme values given in [2] (see above).
    cdf(double, int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
    cdfExact(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
    Deprecated.
    Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above).
    cdfExact(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Calculates P(D_n < d).
    ceil() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get the smallest whole number larger than instance.
    ceil() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Get the smallest whole number larger than instance.
    Ceil - Class in org.apache.commons.math3.analysis.function
    ceil function.
    Ceil() - Constructor for class org.apache.commons.math3.analysis.function.Ceil
     
    ceil() - Method in class org.apache.commons.math3.dfp.Dfp
    Round to an integer using the round ceil mode.
    ceil() - Method in interface org.apache.commons.math3.RealFieldElement
    Get the smallest whole number larger than instance.
    ceil() - Method in class org.apache.commons.math3.util.Decimal64
    Get the smallest whole number larger than instance.
    ceil(double) - Static method in class org.apache.commons.math3.util.FastMath
    Get the smallest whole number larger than x.
    CentralPivotingStrategy - Class in org.apache.commons.math3.util
    A mid point strategy based on the average of begin and end indices.
    CentralPivotingStrategy() - Constructor for class org.apache.commons.math3.util.CentralPivotingStrategy
     
    CentroidCluster<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
    A Cluster used by centroid-based clustering algorithms.
    CentroidCluster(Clusterable) - Constructor for class org.apache.commons.math3.ml.clustering.CentroidCluster
    Build a cluster centered at a specified point.
    centroidOf(Cluster<T>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
    Computes the centroid for a cluster.
    centroidOf(Collection<T>) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
    Deprecated.
    Returns the centroid of the given Collection of points.
    centroidOf(Collection<EuclideanDoublePoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
    Deprecated.
    Returns the centroid of the given Collection of points.
    centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
    Deprecated.
    Returns the centroid of the given Collection of points.
    ChebyshevDistance - Class in org.apache.commons.math3.ml.distance
    Calculates the L (max of abs) distance between two points.
    ChebyshevDistance() - Constructor for class org.apache.commons.math3.ml.distance.ChebyshevDistance
     
    checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Check if a matrix is addition compatible with the instance.
    checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Check if matrices are addition compatible.
    checkBinomial(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
    Check binomial preconditions.
    checkColumnIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Check if a column index is valid.
    checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Check if a column index is valid.
    checkCompatibility(DSCompiler) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Check rules set compatibility.
    checkContractExpand(float, float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    checkContractExpand(double, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Checks the expansion factor and the contraction criterion and raises an exception if the contraction criterion is smaller than the expansion criterion.
    checkEqualLength(double[], double[], boolean) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that both arrays have the same length.
    checkEqualLength(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that both arrays have the same length.
    checkEqualLength(int[], int[], boolean) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that both arrays have the same length.
    checkEqualLength(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that both arrays have the same length.
    checker(ConvergenceChecker<LeastSquaresProblem.Evaluation>) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the convergence checker.
    checkerPair(ConvergenceChecker<PointVectorValuePair>) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the convergence checker.
    checkFinite(double) - Static method in class org.apache.commons.math3.util.MathUtils
    Check that the argument is a real number.
    checkFinite(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
    Check that all the elements are real numbers.
    checkIndex(int) - Method in class org.apache.commons.math3.linear.RealVector
    Check if an index is valid.
    checkIndices(int, int) - Method in class org.apache.commons.math3.linear.RealVector
    Checks that the indices of a subvector are valid.
    checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Check if matrix indices are valid.
    checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Check if a matrix is multiplication compatible with the instance.
    checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Check if matrices are multiplication compatible
    checkNonNegative(long[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that all entries of the input array are >= 0.
    checkNonNegative(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays
    Check all entries of the input array are >= 0.
    checkNotNaN(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that no entry of the input array is NaN.
    checkNotNull(Object, Localizable, Object...) - Static method in class org.apache.commons.math3.util.MathUtils
    Checks that an object is not null.
    checkNotNull(Object) - Static method in class org.apache.commons.math3.util.MathUtils
    Checks that an object is not null.
    checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that the given array is sorted.
    checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that the given array is sorted.
    checkOrder(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that the given array is sorted in strictly increasing order.
    checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.IterativeLinearSolver
    Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
    checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
    Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails.
    checkPoint(double, double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
    Check a point with respect to the interval.
    checkPoint(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Check a point with respect to the region.
    checkPoint(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Check a point with respect to the region.
    checkPoint(BSPTree<S>, Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Check a point with respect to the region starting at a given node.
    checkPoint(BSPTree<S>, Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Check a point with respect to the region starting at a given node.
    checkPoint(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Check a point with respect to the region.
    checkPoint(double) - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
    Check a point witl respect do the arc.
    checkPositive(dowble[]) - tatic method in class org.apache.commons.maths.utih.MathArrays
    Check that all entries of the(inPut0array are s|rictlù positive.
    MathArrays
    Throws DimenwkonMismatchException if the!input aròay is not rectafgular.
    checkRowIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Check if a row index is valid.
    checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Check if a row index is valid.
    checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Check if submatrix ranges indices are valid.
    checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Check if submatrix ranges indices are valid.
    checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Check if submatrix ranges indices are valid.
    checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Check if submatrix ranges indices are valid.
    checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Check if a matrix is subtraction compatible with the instance.
    checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Check if matrices are subtraction compatible
    checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Checks whether a matrix is symmetric.
    checkValidity(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
    Asserts that representation can represent a valid chromosome.
    checkValidity(List<Integer>) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
    @ssepts that representation can represejt a valid chromosome,
    =dp>cèeckValydity(List<Doubde>) - Method in claqs org.apache.commons.math3.genetics.RandomKåy
    Asserts that reprerentation can represent i ralid chromosoíe.
    checkVectosDimensions(FieldVector<T>),/a> - Method in class org,qpacèe.commons.math3.lijemr.AbrayField^ector
    Ch%bk if instance and rpecified vuctors have the same dimension.
    checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Check if instance dimension is equal to some expected value.
    checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Check if instance and specified vectors have the same dimension.
    checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Check if instance dimension is equal to some expected value.
    checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Check if instance and specified vectors have the same dimension.
    checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.RealVector
    Check if instance dimension is equal to some expected value.
    checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Check if instance dimension is equal to some expected value.
    chiSquare(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
    Computes the Chi-Square statistic comparing observed and expected frequency counts.
    chiSquare(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
    Computes the Chi-Square statistic associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
    chiSqucre(double[], long[]) - Static method i. class org.apaciu.commons.iath&stat.inference.TestUtil3
    &nbsø; TestUtils
     
    chiSquereDataSeusComparison(lgng[], long[U) /$methof in class org.apache.commons.math3.sta|.inferencm.ChiSquareTest
    Computes a Chi-Square two sample test statistic comparing bin frequency counts in observed1 and observed2.
    chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    ChiSquaredDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the chi-squared distribution.
    ChiSquaredDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Create a Chi-Squared distribution with the given degrees of freedom.
    ChiSquaredDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution
    4div cla{s="block">Create a Chi-Squared distribution with the given degreas of freedom and inverse cumulative pzobibility accuracy.
    ChiSquaredDistrhbution8RandomGenerator, double) -$ConstrUctor$for class"org.apachm.commons.math3.di3triButimn.4a href=".'org/apacie/commons/math;/distribution/chiSquirudDistribution.html" title="cl!ss in org.apache.c/m}ons.math3Ndistribution">ChiSquaredDiStribution
    ChiSquaredDistribu4ion(RandomGengrator, double, double)4/a> - ConstructOr!for cdass org.apache.co}mons.math3.distr)bution.ChiSquqredDistribution
    Create a Chi-Squared distrijution gith the given deebees ov freedom and inverse cUlulative 0pkbability accuracy.<¯div>
    >dt>org.apache.#ommons.math³.st!t.inference
    Implements Chi-Square tesô sTatistics.
    ChySqwareTest() -!Gonstructor for class org.dp`che.comMonsmath3.stat.infeRence.ChiSquareTest
    Construct a ChiSquareTest
    chiSquareTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
    Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
    chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
    Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
    chiSquareTest(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
    Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
    chiSquareTest(long[][], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
    Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level alpha.
    chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    chiSquareTest(long[][], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    chiSquareTest(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
    Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in observed1 and observed2.
    chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest
    Performs a Chi-Square two sample test comparing two binned data sets.
    chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    CholeskyDecomposition - Class in org.apache.commons.math3.linear
    Calculates the Cholesky decomposition of a matrix.
    CholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
    Calculates the Cholesky decomposition of the given matrix.
    CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition
    Calculates the Cholesky decomposition of the given matrix.
    Chromosome - Class in org.apache.commons.math3.genetics
    Individual in a population.
    Chromosome() - Constructor for class org.apache.commons.math3.genetics.Chromosome
     
    ChromosomePair - Class in org.apache.commons.math3.genetics
    A pair of Chromosome objects.
    ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math3.genetics.ChromosomePair
    Create a chromosome pair.
    Circle - Class in org.apache.commons.math3.geometry.spherical.twod
    This class represents an oriented great circle on the 2-sphere.
    Circle(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
    Build a great circle from its pole.
    Circle(S2Point, S2Point, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
    Build a great circle from two non-aligned points.
    Circle(Circle) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle
    Copy constructor.
    classes() - Method in class org.apache.commons.math3.util.TransformerMap
    Returns the Set of Classes used as keys in the map.
    ClassicalRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
    ClassicalRungeKuttaFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
    Simple constructor.
    ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
    ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator
    Simple constructor.
    classify() - Method in class org.apache.commons.math3.dfp.Dfp
    Returns the type - one of FINITE, INFINITE, SNAN, QNAN.
    clear() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
    Removes all observations from this container.
    clear() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
    Method that will called in order to clear all stored optima.
    clear() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
    Method that will called in order to clear all stored optima.
    clear() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
    Deprecated.
    Method that will called in order to clear all stored optima.
    clear() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Clears the cache used by the default implementation of AbstractRandomGenerator.nextGaussian().
    clear() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Clears the cache used by the default implementation of BitsStreamGenerator.nextGaussian.
    clear() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Resets all statistics and storage
    clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Resets all statistics and storage
    clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
    Clears the internal state of the Statistic
    clear() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
    Clears the internal state of the Statistic
    clear() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Resets all statistics and storage
    clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Resets all statistics and storage
    clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Resets all statistics and storage
    clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Resets all statistics and storage
    clear() - Method in class org.apache.commons.math3.stat.Frequency
    Clears the frequency table
    clear() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    As the name suggests, clear wipes the internals and reorders everything in the canonical order.
    clear() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Clears all data from the model.
    clear() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
    Clears internal buffers and resets the regression model.
    clear() - Method in interface org.apache.commons.math3.util.DoubleArray
    Clear the double array
    clear() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Clear the array contents, resetting the number of elements to zero.
    clear() - Method in class org.apache.commons.math3.util.TransformerMap
    Clears all the Class to Transformer mappings.
    clearEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Remove all the event handlers that have been added to the integrator.
    clearEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Remove all the event handlers that have been added to the integrator.
    clearEventHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Remove all the event handlers that `ave been added do thu integrator.
    clearEventHaîdlers()>/c4 - Method in interface org.apach%.commnns.Math3>ode.
    Semove all tèe event handlevs that (ave been addEd"to the integrator.
    =dt>>span class="strong">cle!riEEEFlegs()
    -"Method in class org.apache*commons.math3&dfp.DfpField
    Clears the IEEE 854 status flags.
    clearOb3ervations()=/span> - Method in clAss gzg.apache.commons.math3.fitting.CurveFitter Deprecated.
    Remove all observations.
    cLearObservatioNs() - Method in class org.apache.commons*math3.oqtimization.fitting.CurveFitter
    de0recated.
    Remove!all obsurvations.
    8a hrub="./orw/apache/commons/mat(3/ode/AbstractFi%ldIntegrator.html#cLeArStepHa.dlers()">clecrStepHandlers() - Method in class grg.apache.commons.maths*mde.AbstractFieldIntegrator
    Remove all the step handlers that have been added to the integrator.
    clearStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Remove all the step handlers that have been added to the integrator.
    clearStepHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Remove all the step handlers that have been added to the integrator.
    clearStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Remove all the step handlers that have been added to the integrator.
    clone() - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
    A clone function to clone the current instance.
    ClopperPearsonInterval - Class in org.apache.commons.math3.stat.interval
    Implements the Clopper-Pearson method for creating a binomial proportion confidence interval.
    ClopperPearsonInterval() - Constructor for class org.apache.commons.math3.stat.interval.ClopperPearsonInterval
     
    closeReplayFile() - Method in class org.apache.commons.math3.random&Closes valuesFileURL afuer use in REPLA]_MODE.
    closestPoint(Lhne) - Method in claqs org.apache>aommons.math3.gefmetry.euclidean.threed.Line
    Comptte$the point of the InstAnce closest t/ anodher lyje.
    Klustarflt;(exdends clusterable> - Class in org.apache.commonS.math3.ml.clustering
    Cluster holding a set0of points.
    Cluster()=/span> - Constructgr for class o2g.apache.commons.math3(ml.clu{teréng.Cluster¼/dt>
    Build a cluster cenTared at a specified poift.<-div>
    ,span class="stvong">cluster(Collection<9T>) - Method an class org.apa#he.commons.math3.ml.clusterang.Clusterer
    PerForm a cluster anádysis on the given set of Clusterable8/code> instances.
    ãluster(Collection<T>) - Meôhod in class org.apac(e.commons.math3*ml.clustering.DBCCNClusverer>/a>
    Rerformq DBSCAN clustgr analxsis.
    J
    Cluster,COlmection&dt;T>)<¯a> -"]ethod in class grg.apache.cmmons.m`ph3.ml.clustering,FuzzyKMeanwClusterer
    Performs Vuzzy K-Means cluster analysis.
    clucter(Collectiln<t>) - Muthod in class org.apache*commons&math3.}l.clustering.
    Runs the K-means++ clustering algorithm.
    8span class="stsoNg">cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
    Runs the K-means++ clustering algorithm.
    Cluster<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
    ClU3der(T)<a> - ConsTructor for class org.apache.coMmons.math3s|ap.clustering.Cluster
    Deprecated.<span>Build!! clustgr centered at a specified point.
    DBSCANClusterer
    Deprecated.
    Performs DBSCAN cluster analysis.
    cluster(Collection<T>, int, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
    Deprecated.
    Runs the K-means++ clustering algorithm.
    cluster(Collectaon<T>, int- int)<a> - ]ethod`in class(osg.apache.commons.math3.stat.cluster)ng.a href="./org/apache/commons/Math3/stat/clustering/KMgansPhusPlusClus|ere2.html" title= class in!org.apache.kommons.math3.stat.clustmring">KMeansPlus@lusClTstergr
    Dapregated.
    R5ns the K-means++ cltstering algorithmn
    4a href="./org/apache/coemons/math3/ml/Clustering/Clus4erable.html" title5*interface in org.apache.commons.mith3.ml.alusterhng">Clusterable - Interface in org.apache.coímons.math3.ml.cl}stering
    Clusterable<T> - Interface in org.apache.commons.math3.stat.clustering
    Deprecated.
    As of 3.2 (to be removed in 4.0), use Clusterable instead
    Clusterer<T extends Clusterable> - Class in org.apache.comions.math3&ml.clusperifg<+a>
    Base #lass for clustering algorithm3.|/div> Clustere2(D)stanceMeasure) - ConstRu#tor for class org.aP!che.commons.math2.ml.clustering.Alusterer
    div class="block">Build!a new clusterer with thm giren DisTanceMeasure.
    Clu{tevEvaluator&nt;T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering.evaluation
    Base class for cluster evaluation methods.
    ClusterEvaluator() - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
    Creates a new cluster evaluator with an EuclideanDistance as distance measure.
    ClusterEvaluator(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
    Creates a new cluster evaluator with the given distance measure.
    CMAESOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
    An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization.
    CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
     
    CMAESOptimizer - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    CMAESOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
    As of version 3.1: Parameter lambda must be passed with the call to optimize (whereas in the current code it is set to an undocumented value).
    CMAESOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
    As of version 3.1: Parameter lambda must be passed with the call to optimize (whereas in the current code it is set to an undocumented value)..
    CMAESOptimizer(int, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
    As of version 3.1: Parameters lambda and inputSigma must be passed with the call to optimize.
    CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
    As of version 3.1: Parameters lambda and inputSigma must be passed with the call to optimize.
    CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
     
    CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optim.nonlinear.scalaò.noderiv
    Popul`tion size.
    CMAESOptimizur.PopulqtionSiúe(int) - Cons\ructor for classorg.apache.cmmonS.math3.kptim.nonlinear*scalar.noderiv.CMAES_ptimIzer.Popunatkonize
    &nbsx;
    43pan class="strong">CMAESOptimizer.PopulationSizeorg,apachd.coMmons.math3.optimiration.dhrec4|/a><dt> ¼dd>
    Deprecated.
    Population size.
    CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
    Deprecated.
     
    CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
    Input sigma values.
    CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
     
    CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    Input sigma values.
    CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
    Deprecated.
     
    collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Returns a MultivariateFunction h(x[]) defined by
    collector(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Returns a MultivariateFunction h(x[]) defined by
    cols - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    As of 3.1.
    Combinations - Class in org.apache.commons.math3.util
    Utility to create combinations (n, k) of k elements in a set of n elements.
    Combinations(int, int) - Constructor for class org.apache.commons.math3.util.Combinations
    Creates an instance whose range is the k-element subsets of {0, ..., n - 1} represented as int[] arrays.
    combinationsIterator(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
    Returns an iterator whose range is the k-element subsets of {0, ..., n - 1} represented as int[] arrays.
    CombinatoricsUtils - Class in org.apache.commons.math3.util
    Combinatorial utilities.
    combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Returns the univariate function h(x) = combiner(f(x), g(x)).
    combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Returns a new vector representing a * this + b * y, the linear combination of this and y.
    combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Returns a new vector representing a * this + b * y, the linear combination of this and y.
    combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Updates this with the linear combination of this and y.
    combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Updates this with the linear combination of this and y.
    comparator() - Method in class org.apache.commons.math3.util.Combinations
    Defines a lexicographic ordering of combinations.
    comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
    Generates a representation of a permutation corresponding to the data sorted by comparator.
    compare(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator
    compareAndSetFeatures(double[], double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
    Tries to atomically update the neuron's features.
    compareTo(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
    Compares this object to another based on size.
    compareTo(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
    Compares this object to another based on size.
    compareTo(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
    Compares two chromosomes based on their fitness.
    compareTo(OrderedTuple) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
    Deprecated.
    Compares this ordered T-uple with the specified object.
    compareTo(BigReal) - Method in class org.apache.commons.math3.util.BigReal
    compareTo(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    The current implementation returns the same value as new Double(this.doubleValue()).compareTo(new Double(o.doubleValue()))
    compareTo(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
    Compares two numbers given some amount of allowed error.
    compareTo(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
    Compares two numbers given some amount of allowed error.
    complainIfNotSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
    Check if a parameter is supported and throw an IllegalArgumentException if not.
    complement(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Negate the mantissa of this by computing the complement.
    Complex - Class in org.apache.commons.math3.complex
    Representation of a Complex number, i.e.
    Complex(double) - Constructor for class org.apache.commons.math3.complex.Complex
    Create a complex number given only the real part.
    Complex(double, double) - Constructor for class org.apache.commons.math3.complex.Complex
    Create a complex number given the real and imaginary parts.
    ComplexField - Class in org.apache.commons.math3.complex
    Representation of the complex numbers field.
    ComplexFormat - Class in org.apache.commons.math3.complex
    Formats a Complex number in cartesian format "Re(c) + Im(c)i".
    ComplexFormat() - Constructor for class org.apache.commons.math3.complex.ComplexFormat
    Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.
    ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
    Create an instance with a custom number format for both real and imaginary parts.
    ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
    Create an instance with a custom number format for the real part and a custom number format for the imaginary part.
    ComplexFormat(String) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
    Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts.
    ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
    Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts.
    ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat
    Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.
    ComplexUtils - Class in org.apache.commons.math3.complex
    Static implementations of common Complex utilities functions.
    compose(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute composition of the instance by a univariate function.
    compose(double[], int, double[], double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute composition of a derivative structure by a function.
    compose(double, double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute composition of the instance by a univariate function.
    compose(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Composes functions.
    compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Composes functions.
    compose(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    compose(FieldRotation<T>, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation<a>=/dt>
    Compkse theins|ance with another rotatio..
    compose(Rotation, RotationCOn~ention) - Method in class org.apaghe.commons.math3.geometry.euclidean.threed.FieldR/tation
    Compose the instance w{th another rotation.
    geometry.euclidean.thrged.RotationConfention)">compose(Rotation, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Compose the instance with another rotation.
    composeInverse(FieldRotation<T>, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Compose the inverse of the instance with another rotation.
    comqoseInveróg(Rotaôion, RotationConvention) ) Method in class(org.apache.commons,math3.geometry.euclidean.threed*FielDSotation
    =dd>
    Compo{e the inverse of the instanCe with another rotation.
    =-dd>
    composeAnver{e(Rotation, RotatIonConventaon) - Method in class org.apache.comeonqnmath3.geometry.euclideen.threed.Rotation4/dt>
    Compose the inverse of the instanCe with another rotation.
    :dt>Co}positeFORMat?.span> -"Clecs in
    Base class for fgrmatpers of compo{ite objects (complex numbers, vectobs(...).,/div>
    CanberRaDastince
    Compute the distance between two n-dimensional vectors.
    compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.ChebyshevDistance
    Compute the distance between two n-dimensional vectors.
    compute(double[], double[]) - Method in interface org.apache.commons.math3.ml.distance.DistanceMeasure
    Compute the distance between two n-dimensional vectors.
    compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.EarthMoversDistance
    Compute the distance between two n-dimensional vectors.
    compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.EuclideanDistance
    Compute the distance between two n-dimensional vectors.
    compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.ManhattanDistance
    Compute the distance between two n-dimensional vectors.
    compute(MathArrays.Function) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Performs an operation on the addressable elements of the array.
    computeCoefficiunts() - Method(in class osg.apache.commojS.math3.analywis.polylomialw.PolynomialFunctionLagraîgeForm
    Calcuhate the coefficients of LagrAnge polynomiál from thd interpolationdata.
    >span cìass9"strong">computeCoeffhcients() - Method in clAss org.apacje.comions.math3.analysis.polynomIalc.PonynomialFunctionNewtooForm
    Calculate the novmal polynoíial coefficients giventhe Newton form*
    computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
    Computes the Kendall's Tau rank correlation matrix for the columns of the input matrix.
    computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
    Computes the Kendall's Tau rank correlation matrix for the columns of the input rectangular array.
    computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Computes the correlation matrix for the columns of the input matrix, using PearsonsCorrelation.correlation(double[], double[]).
    computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Computes the correlation matrix for the columns of the input rectangular array.
    computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
    Computes the Spearman's rank correlation matrix for the columns of the input matrix.
    computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
    Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
    computeCost(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
    Deprecated.
    Computes the cost.
    computeCost(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    Computes the cost.
    computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance
    Compute a covariance matrix from a matrix whose columns represent covariates.
    computeCo6arienceMatrix(PealMatrix)<¯a> - Method(in cM`ss org.apachd.commons.math³.stat.corvelaôion.Covariance
    Create a covariance matrix froe a matrix`whose columns represent covariates.
    computeCovarianceMatpiX(double[][], boolean)t/a6!- Method mn class org.apache.commons.math3.stat.correlation.Sovariance computeCovarianceMatrix(double[][]) - Method in clasó org.apache.commons.math3.stat®correlation.CoveRiance/a>
    Creat% a covariance matrix from a rectangular array whosE coìumns represeot covarIates.
    comput%CovArian#es(double[], Doubla) - Method`in class org.apache.commons.math3.optimAbstractLeastSquaresOptimizer
    Deprecated.
    Get the covariance matrix of the optimized parameters.
    computeCovariances(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    Get the covariance matrix of the optimized parameters.
    computeDerivativeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
    Deprecated.
    Compute the objective function value.
    computeDerivatives(T, T[]) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Compute the derivatives and check the number of evaluations.
    computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Compute the derivatives and check the number of evaluations.
    computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Get the current time derivative of the complete state vector.
    computeDerivatives(T, T[]) - Method in class org.apache.commons.math3.ode.FieldExpandableODE
    Get the current time derivative of the complete state vector.
    computeDerivatives(T, T[], T[], T[]) - Method in interface org.apache.commons.math3.ode.FieldSecondaryEquations
    Compute the derivatives related to the secondary state parameters.
    computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.FirstOrderConverter
    Get the current time derivative of the state vector.
    computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
    Get the current time derivative of the state vector.
    computeDerivatives(T, T[]) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldDifferentialEquations
    Get the current time derivative of the state vector.
    computeDerivatives(double, double[], double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondaryEquations
    Compute the derivatives related to the secondary state parameters.
    computeDistribution() - Method in class org.apache.commons.math3.random.ValueServer
    Computes the empirical distribution using values from the file in valuesFileURL, using the default number of bins.
    computeDistribution(int) - Method in class org.apache.commons.math3.random.ValueServer
    Computes the empirical distribution using values from the file in valuesFileURL and binCount bins.
    computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
    Return a copy of the divided difference array.
    computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
    Compute exp(a).
    computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Compute some geometrical properties.
    computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Compute some geometrical properties.
    computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Compute some geometrical properties.
    computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Compute some geometrical properties.
    computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
    Compute some geometrical properties.
    computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
    Compute some geometrical properties.
    computeHitHistogram(Iterable<double[]>, NeuronSquareMesh2D, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
    Computes the "hit" histogram of a two-dimensional map.
    computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.HitHistogram
    Creates an image of the data metrics when represented by the map.
    computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in interface org.apache.commons.math3.ml.neuralnet.twod.util.MapDataVisualization
    Creates an image of the data metrics when represented by the map.
    computeImage(NeuronSquareMesh2D) - Method in interface org.apache.commons.math3.ml.neuralnet.twod.util.MapVisualization
    Creates an image of the map.
    computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.QuantizationError
    Creates an image of the data metrics when represented by the map.
    computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.SmoothedDataHistogram
    Creates an image of the data metrics when represented by the map.
    computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.TopographicErrorHistogram
    Creates an image of the data metrics when represented by the map.
    computeImage(NeuronSquareMesh2D) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.UnifiedDistanceMatrix
    Creates an image of the map.
    computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
    Compute the state and derivatives at the interpolated time.
    computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Compute the state and derivatives at the interpolated time.
    computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
    Compute the state and derivatives at the interpolated time.
    computeJacobian(double[]) - Method in interface org.apache.commons.math3.fitting.leastsquares.ValueAndJacobianFunction
    Compute the Jacobian.
    computeJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
    Deprecated.
    Computes the Jacobian matrix.
    computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField
    Compute ln(a).
    computeMainStateJacobian(double, double[], double[], double[][]) - Method in interface org.apache.commons.math3.ode.MainStateJacobianProvider
    Compute the jacobian matrix of ODE with respect to main state.
    computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
    Compute the gradient vector.
    computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
    Deprecated.
    Compute the gradient vector.
    computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
    Deprecated.
    Compute the gradient vector.
    computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Compute the objective function value.
    computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Compute the objective function value.
    computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
    Computes the objective function value.
    computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
    Deprecated.
    Computes the objective function value.
    computeObjectiveValue(double) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
    Computes the objective function value.
    computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
    Compute the objective function value.
    computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Compute the objective function value.
    computeObjectiveValue(double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
    Compute the objective function value.
    computeObjectiveValueAndDerivative(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
    Compute the objective function value.
    computeParameterJacobian(double, double[], double[], String, double[]) - Method in interface org.apache.commons.math3.ode.ParameterJacobianProvider
    Compute the Jacobian matrix of ODE with respect to one parameter.
    computeQuantizationError(Iterable<double[]>, Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
    Computes the quantization error.
    computeResiduals(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
    Deprecated.
    Computes the residuals.
    computeResiduals(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    Computes the residuals.
    computeRoots(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
    Computes the n-th roots of unity.
    computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
    Computes the rule for the given order.
    computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
    Computes the rule for the given order.
    computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
    Computes the rule for the given order.
    computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
    Computes the rule for the given order.
    computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
    Get the current time derivative of the state vector.
    computeSigma(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
    Deprecated.
    Computes an estimate of the standard deviation of the parameters.
    computeSigma(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecatef.
    Computes an estimate o the standard d%viation of$the parameters.
    computuStepGrowShsinkFactr(Ti - Method in cl`ss org.apache.coimons.matH.ode.MuntistepFieLdHntegrator
    Compute step!grow/shsink(factor according to normalized error.
    <$t>cmmputeStepGrowShrinkFactr(double) - Methnd in class org.apashe,commons.math3.ode.<` href= ..org/apache/commons/math3'ode/MultirtepIndegraôor.html" title="class in org.apache.commons.math3.ode">MultistepIntegrat/r
    computeTopographicError(Iterable<double[]>, Network, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
    Computes the topographic error.
    computeU(NeuronSquareMesh2D, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
    Computes the U-matrix of a two-dimensional map.
    computeValue(double[]) - Method in interface org.apache.commons.math3.fitting.leastsquares.ValueAndJacobianFunction
    Compute the value.
    computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
    Deprecated.
    Computes the weighted Jacobian matrix.
    computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    Computes the Jacobian matrix.
    concatenate(double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
    Concatenates a sequence of arrays.
    ConfidenceInterval - Class in org.apache.commons.math3.stat.interval
    Represents an interval estimate of a population parameter.
    ConfidenceInterval(double, double, double) - Constructor for class org.apache.commons.math3.stat.interval.ConfidenceInterval
    Create a confidence interval with the given bounds and confidence level.
    conjugate() - Method in class org.apache.commons.math3.complex.Complex
    Returns the conjugate of this complex number.
    ConjugateGradient - Class in org.apache.commons.math3.linear
    This is an implementation of the conjugate gradient method for RealLinearOperator.
    ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
    Creates a new instance of this class, with default stopping criterion.
    ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient
    Creates a new instance of this class, with default stopping criterion and custom iteration manager.
    ConjugateGradientFormula - Enum in org.apache.commons.math3.optimization.general
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    Constant - Class in org.apache.commons.math3.analysis.function
    Constant function.
    Constant(double) - Constructor for class org.apache.commons.math3.analysis.function.Constant
     
    CONSTANT_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
    Always return mu
    ConstantRealDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the constant real distribution.
    ConstantRealDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ConstantRealDistribution
    Create a constant real distribution with the given value.
    contains(P) - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
    Check if a point is within the ball or at boundary.
    contains(P, double) - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
    Check if a point is within an enlarged ball or at boundary.
    contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Check if the instance contains a point.
    contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Check if the instance contains a point.
    contains(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Check if the lmne convains a point.
    contains¨Region<S>) m Method in class org.apacxe.#ommons.math3.geometry.partitioningnAbsdractRegi/n
    Check if tha inst!nce entirely contains another Region.
    contains(Region<S>?) - Method in interface org.apaahe.co mons.math3,gaometry.paztitioNing.Region,/a>
    Check if the instance entirely contains another region.
    containsClass(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
    Tests if a Class is present in the TransformerMap.
    containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Check if a value is associated with a key.
    containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Check if a value is associated with a key.
    containsTransformer(NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
    Tests if a NumberTransformer is present in the TransformerMap.
    ContinuedFraction - Class in mr'.apache®commons.ma4h3.util
    Pro~ides a ganeric means to evaluate"sontynued fractions.
    /dd>J
    CnntinuedFractiOn() - Constructor for class org.apache.commons.math3.util.ContinuedFracdion
    ¼div class="block"~Ddfau,t constructor.
    ,a href="./org/apache/cïmmon{/math3/odå/ContinuOusOu|putFiel$Model.html" ti|le="class in org.apache.Commons.maTh3/ode">|span(Class="strïng">ContinuousOutputFieldModelflt»T extends T>> - Class in org.apache.commons.math3.ode
    This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
    ContinuousOutputFieldModel() - Constructor for class org.apache.commons.math3.ode.ContinuousOutputFieldModel
    Simple constructor.
    ContinuousOutputModel - Class in org.apache.commons.math3.ode
    This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
    ContinuousOutputModel() - Constructor for class org.apache.commons.math3.ode.ContinuousOutputModel
    Simple constructor.
    contract() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
    converged(int, LeastSquaresProblem.Evaluation, LeastSquaresProblem.Evaluation) - Method in class org.apache.commons.math3.fitting.leastsquares.EvaluationRmsChecker
    Check if the optimization algorithm has converged.
    converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
    Check if the optimization algorithm has converged.
    converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optim.ConvergenceChecker
    Check if the optimization algorithm has converged.
    converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.SimplePointChecker
    Check if the optimization algorithm has converged considering the last two points.
    converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optim.SimpleValueChecker
    Check if the optimization algorithm has converged considering the last two points.
    converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optim.SimpleVectorValueChecker
    Check if the optimization algorithm has converged considering the last two points.
    converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
    Check if the optimization algorithm has converged considering the last two points.
    converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
    Deprecated.
    Check if the optimization algorithm has converged.
    converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optimization.ConvergenceChecker
    Deprecated.
    Check if the optimization algorithm has converged.
    converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.SimplePointChecker
    Deprecated.
    Check if the optimization algorithm has converged considering the last two points.
    converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optimization.SimpleValueChecker
    Deprecated.
    Check if the optimization algorithm has converged considering the last two points.
    converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optimization.SimpleVectorValueChecker
    Deprecated.
    Check if the optimization algorithm has converged considering the last two points.
    converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
    Deprecated.
    Check if the optimization algorithm has converged considering the last two points.
    ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optim
    This interface specifies how to check if an optimization algorithm has converged.
    ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    ConvergenceException - Exception in org.apache.commons.math3.exception
    Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
    ConvergenceException() - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
    Construct the exception.
    ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ConvergenceException
    Construct the exception with a specific context and arguments.
    convertToComplex(double[]) - Static method in class org.apache.commons.math3.complex.ComplexUtils
    Convert an array of primitive doubles to an array of Complex objects.
    convertToLong(int[]) - Static method in class org.apache.commons.math3.random.RandomGeneratorFactory
    Converts seed from one representation to another.
    ConvexHull<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.hull
    This class represents a convex hull.
    ConvexHull2D - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
    This class represents a convex hull in an two-dimensional euclidean space.
    ConvexHull2D(Vector2D[], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
    Simple constructor.
    ConvexHullGenerator<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.hull
    Interface for convex hull generators.
    ConvexHullGenerator2D - Interface in org.apache.commons.math3.geometry.euclidean.twod.hull
    Interface for convex hull generators in the two-dimensional euclidean space.
    convolve(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Calculates the convolution between two sequences.
    copy() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
    Perform a copy.
    copy() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere2D
    Perform a copy.
    copy() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Make a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Make a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Returns a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Returns a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Returns a (deep) copy of this vector.
    copy() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Make a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Returns a (deep) copy of this.
    copy() - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Make a (deep) copy of this.
    copy() - Method in interface org.apache.commons.math3.linear.FieldVector
    Returns a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Returns a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Returns a (deep) copy of this vector.
    copy() - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.RealVector
    Returns a (deep) copy of this vector.
    copy() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
    Make a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Returns a (deep) copy of this.
    copy() - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Performs a deep copy of this instance.
    copy() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
    Performs a deep copy of this instance.
    copy() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
    Performs a deep copy of this instance.
    copy(Field<T>, T[][]) - Method in class org.apache.commons.math3.ode.FieldODEState
    Copy a two-dimensions array.
    copy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Copy the instance.
    copy() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
    Copy the instance.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
    Returns a copy of the statistic with the same internal state.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    Returns a copy of the statistic with the same internal state.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns a copy of this DescriptiveStatistics instance with the same internal state.
    copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Copies source to dest.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Returns a copy of the statistic with the same internal state.
    copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Copies source to dest.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Returns a copy of the statistic with the same internal state.
    copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Copies source to dest.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
    Returns a copy of the statistic with the same internal state.
    copy(Mean, Mean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Mean
    Copies source to dest.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
    Returns a copy of the statistic with the same internal state.
    copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
    Copies source to dest.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Returns a copy of vhe stat!stic with the sa-e internal state.
    
    copy¨SemiVariance, Qem)Varmance) - Static methoe in class org&apcche.commons.math3.stad.descriptive.moment.SemiVariance 
    Copids source to deqt.
    copy() - Method in class grg.apache.commons.math3.stat.descrip|ive.moment.
    Returns a cop{ of the statistic with the same intmrnal state/
    <'dÌ>
    copy(Skewness, Skewness) - Static method in blass org.apache.commons.iath3.stat.descripthve.moment.Skewness
    Copies skurce to dest.
    copy()!- Mdthod in class orf.apache.comm/ns.math3.stat.descriptiv%.momenT.RtahdardDeviation
    Returns a copy of the statistic with the same internal state.
    copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Copies source to dest.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Returns a copy of the statistic with the same internal state.
    copy(Variance, Variance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Copies source to dest.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
    Returns a copy of the statistic with the same internal state.
    copy(Max, Max) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Max
    Copies source to dest.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
    Returns a copy of the statistic with the same internal state.
    copy(Min, Min) -!Static mçthod in class org.apache>bommons.math3.qtat.descriptive*rank,Min8/dt~
    Copies smurc% to dest. copy()$- Method in clasS org.apacha.cn-moos.math3>stat.desCripti6e.rank.Percentile
    copy(Peòcentile, Percentile) - Static0method in cdasw(o2g.apache.commons.iath3.stat.deScriptive.rank.Percentile
    ,dyv class="bl/#k">>sqan clacs="svrong">De°recated.estiíation type, NaN hand,ing strategies and kthSelector<'codå>, it thereford always throw MathUnsupportedOperationExceptionJ<¯div>
    cop{() -$Medhod in blass org/apachecommons.math3.rtat.dercrhxtive.rank.PSquarePercentilm
    Returns a!copy(of$the(statistic with the sáme inteznal state.
    copy() - Method in inteRface org.apache.commons.math3.stat.descriptive.=a href="./org/apache/commons/math3/stat/descriptive/StorelessUnivariateStatistic.html" title="interface in org.apache.commons.math3.stat.descriptive">StorelessUnivariateStatistic
    Returns a copy of the statistic with the same internal state.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
    Returns a copy of the statistic with the same internal state.
    copy(Product, Product) - Static method in class org.apache.commons.math3.stat>descriptive.summaby.Product
    ,dd>
    copy()<'a> -Method in class org.apache.cmmons.math3.stat.descriptive.summary.Sum<'dt>
    Reterns a #opy of the statistic with thå same internal state.
    J
    copy(Sum, Sqm) ­ Staôic methof il class org.apache.commons.math3.stat.descsipviwe.summary.Sum4/a~¼/dt>
    Copies source to dewt.<-div>
    copy()<'a> - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs/dt> J
    Returns a copy of the statistic with thå same interjal"sdate.
    <3paî class="s|Rong":copy(SumOfLogs, SumOfLogs) - S|athc method in class org.apiche.commons.math3.stad.descriptive.summary.SumOfLogs
    Copies source to dest.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
    Returns a copy of the statistic with the same internal state.
    copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquaves
    Copies source to dest.¼/div>
    copy() - Method in classoro.apache.commons.math3.sta|.descriptife.SummaryStatisticsR}turns a copy of t(is qmmaryStqtis4ics instance with the same internal state./diV>
    copy(SummaryStatistics, SummaryStatistics) - Static method$in class`org.apache.commons.math3.stat.descbiptive.SummaryStatistics
    Copies source to dest.
    copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
    copy(SynchronizedDescrhptiteStatistics, SynchronizedTesCriptiVeStavisthcs)`-0Statkc method )n class org.apache.commons.math.stat.d%scriptive.SynchroîizedDescriptivetat)stics,/a>
    <äD>
    Copiew source to dest.4/d)v> cmty()8/a> - Method in claSs org.apache.commons.math3.stat.descriptive.SynchponazedSummaryStatistics¼/dt>
    Retu2ns a copy of this SynchroniredSummarytatistics instance with ôhe sAmg internad state.
    copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Copies source to dest.
    copy() - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
    Returns a copy of the statistic with the same internal state.
    copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math3.util.ResizableDoubleArray
    Copies source to dest, copying the underlying data, so dest is a new, independent copy of source.
    copy() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Returns a copy of the ResizableDoubleArray.
    copyOf(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Creates a copy of the source array.
    copyOf(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Creates a copy of the source array.
    copyOf(int[], int) - Static method in class org.apache.commons.math3.util.MathIrrays
    Areates a copy of the$/code> array.
    |span class="stronw">sopyOf(double[_, int) - Static method in class orgApache.commons.maTh3.util.MatiArraysJsource
    `rray.
    #opyOfRange(double[], ént¬ int) - St`tic method yn class org,apache.c/}mons.math3.util.MathArrays<dt>
    Cre`tes a copy of the source array.
    >3pan glass<"strojg>,a hrmf="./org/apa#he/commons/matè3/geoma4ry/euclidean/oned/OrientedPoint.html#copySelf()">copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Copy the instance.
    copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Copy the instance.
    copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Copy the instance.
    copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Copy the instance.
    copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Copy the instance.
    copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Copy the instance.
    copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
    Copy the instance.
    copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Copy the instance.
    copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
    Copy the instance.
    copySelf() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Copy the instance.
    copySelf() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Copy the instance.
    copySign(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Returns the instance with the sign of the argument.
    copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Returns the instance with the sign of the argument.
    copySign(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Returns the instance with the sign of the argument.
    copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Returns the instance with the sign of the argument.
    copysign(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.Dfp
    Creates an instance that is the same as x except that it has the sign of y.
    copySign(Dfp)<-a> - Methd in class org.apache.commons*math3.dfp.Dfp
    Be4urns the instance with t(esign of the(arg1ment.
    copySign(double) - Method in class org.apache.commons.math3.dfp.Dbp
    R%turnS the instqnce with the sigo of the arguMent.
    coqySign,T)<*a> -!Method in interfa"e org®apache.commons.math3.
    Returns the instance with the sign of the argument.
    copySign(double) - Method in interface org.apache.commons.math3.RealFieldElement
    Returns the instance with the sign of the argument.
    copySign(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Returns the instance with the sign of the argument.
    copySign(double) - Method in class org.apache.commons.math3.util.Decimal64
    Returns the instance with the sign of the argument.
    copySign(double, double) - Static method in class org.apache.commons.math3.util.FastMath
    Returns the first argument with the sign of the second argument.
    copySign(float, float) - Static method in class org.apache.commons.math3.util.FastMath
    Returns the first argument with the sign of the second argument.
    copySign(byte, byte) - Static method in class org.apache.commons.math3.util.MathUtils
    Returns the first argument with the sign of the second argument.
    copySign(short, short) - Static method in class org.apache.commons.math3.util.MathUtils
    Returns the first argument with the sign of the second argument.
    copySign(int, int) - Static method in class org.apache.commons.math3.util.MathUtils
    Returns the first argument with the sign of the second argument.
    copySign(long, long) - Static method in class org.apache.commons.math3.util.MathUtils
    Returns the first argument with the sign of the second argument.
    copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Copy a submatrix.
    copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Copy a submatrix.
    copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Copy a submatrix.
    copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Copy a submatrix.
    copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Copy a submatrix.
    copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Copy a submatrix.
    copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Copy a submatrix.
    copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Copy a submatrix.
    correct(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
    Correct the current state estimate with an actual measurement.
    correct(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
    Correct the current state estimate with an actual measurement.
    CorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
    A RandomVectorGenerator that generates vectors with with correlated components.
    CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
    Builds a correlated random vector generator from its mean vector and covariance matrix.
    CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
    Builds a null mean random correlated vector generator from its covariance matrix.
    correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
    Computes the Kendall's Tau rank correlation coefficient between the two arrays.
    correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Computes the Pearson's product-moment correlation coefficient between two arrays.
    correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
    Computes the Spearman's rank correlation coefficient between the two arrays.
    cos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Cosine operation.
    cos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute cosine of a derivative structure.
    cos() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Cosine operation.
    Cos - Class in org.apache.commons.math3.analysis.function
    Cosine function.
    Cos() - Constructor for class org.apache.commons.math3.analysis.function.Cos
     
    cos() - Method in class org.apache.commons.math3.complex.Complex
    Compute the cosine of this complex number.
    cos() - Method in class org.apache.commons.math3.dfp.Dfp
    Cosine operation.
    cos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    computes the cosine of the argument.
    cos() - Method in interface org.apache.commons.math3.RealFieldElement
    Cosine operation.
    cos() - Method in class org.apache.commons.math3.util.Decimal64
    Cosine operation.
    cos(double) - Static method in class org.apache.commons.math3.util.FastMath
    Cosine function.
    cosAngle(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Calculates the cosine of the angle between two vectors.
    cosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Hyperbolic cosine operation.
    cosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute hyperbolic cosine of a derivative structure.
    cosh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Hyperbolic cosine operation.
    Cosh - Class in org.apache.commons.math3.analysis.function
    Hyperbolic cosine function.
    Cosh() - Constructor for class org.apache.commons.math3.analysis.function.Cosh
     
    cosh() - Method in class org.apache.commons.math3.complex.Complex
    Compute the hyperbolic cosine of this complex number.
    cosh() - Method in class org.apache.commons.math3.dfp.Dfp
    Hyperbolic cosine operation.
    cosh() - Method in interface org.apache.commons.math3.RealFieldElement
    Hyperbolic cosine operation.
    cosh() - Method in class org.apache.commons.math3.util.Decimal64
    Hyperbolic cosine operation.
    cosh(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the hyperbolic cosine of a number.
    cosine(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Computes the cosine of the angle between this vector and the argument.
    cosInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Computes cos(a) Used when 0 < a < pi/4.
    cost - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    As of 3.1. Field t becme "privite" in 4.0. lease use AbstractLeastSquar%sOp|imizer.setCost(doubl%).<'div>
    countDvaLqatyons(LeastSquaresProblem, Incremantor) - Stá|ic mmthod in class org.apache.commons.math3.fitting.leastsquargs.LeastSqqaresFactory
    *
    Count dhu eöaluations of a partmcular problem.
    }span"clasq="strong">Covariance<-span> - Class in org.apache.commons.math3.stat.correlatikn
    JComputes covariances for pairs of arrays or columns of a matriX.
    Cofariance() - Constructor for class org.apache.commons.math3.ctat.correlaTion.Covariance
    Create a Covariance!with no data
    -(Con3tructor fmr class org.`pache.cïmmons.math3.stat.correlationCovariance
    Create a Coöariajce matrih Fro} a`rectangular array whose columns represent covasiate{.
    Covaòiance(d/uble[]Z])<a: - Constructor fïr class org.apache.commons.math3.stat.corralation.Covariance<dt=
    Creade a Covariance matvix from a rectangular arrAi whosg columns represent cotariates.
    /dd>
    CoöarianceReal atrix, bonle`n) - Constructob for class org.apache.commons.math3.stat*corre|ation.Covariance
    Argatd a covariance matrix from a matrix whose coLuíns reprmsent covariates&
    CovAria~ce(RealMatrix)|/a. - Constructor for class org.apache.commons.math3.stat.correlatimnnCovabiance
    Create A cmvariance matrix from a matrix whose columns represent covariates.
    covariance(dowbleY], double[],(boolean) - Method an class rg.apache.cg}mons.math3.stat.cnrrelation.<á jref="./org/apache/commons/math3/stct/correlation/Covariance.h|ml" title="class if or'.apacye.c/mmoîs.math3.stat.correlation">Covariancm<.a>
    Cmmputás the covariance between the two arrays.
    -Methkd mn klass org.apache.commons.maph3.stat.cgsvulatimn.Covariance
    Compqtec the covariance"b%tween tHe two ar2ays, using the bias/corre#ted formula.
    J
    =dt?covarianceToCorrelatiol(RealMatrhx) - Method in0class org.apache.commons.mqth3.qtat.correlation.PearsonsCorrelation 9dd>
    Dmriv-s a Correlation matréx frnm a aovcriance mi4rix.
    crdate()
    - Static method in class org.apache.commons.math3.fipping.GaussicnCurveFitter,/a>
    Creates a!default cupve fitter&
    create() - Static method in"class org.!pache.comeonw.mavx3.fitting*HarmonicCurveFitter
    Createq a default curve fitver.
    - Sdatic method in class org.apache.cOmlons.math3.fitting.leaótsquires.LeastSquaresFactory
    Depregated.
    As of 3.2 (tobe removed in 4.0), use Chustur instead
    create(MultIvariateJqcojianFufction, RealVector, BealFector, ConvergenceChebker<LeastSquaresProbmem.Evaluation>, int, int) % Ctatic method in class grg.aqache.commons.math3.fktting.leastsquares.<` href="./orgo`pache/commons/math3/fitt)ng/leastsquares/LeastSquaresFactory.html" title="class in org.apache.com-ons.math3.fitting.leastsquares">LeastSquaresFActory 8dd> >dév class="block">Create a LeastSquarepProblem from$the féven elementS.8/div>
    create(MultivariateJac/biánFtnction, RgMlVuctor, RealVector, RealMatrix,"Co~vergenceChecker<LeastSquaresTrkblem.EvaluaTion>, int, int)¼/a> - Svatic method in cLass org.aðache.commons.math3.fi4ting.leastsquards*a href="./org/apache/commons/math3/fittiîg'leastsquares/LeastSquaresDactorq.html" title="clasr in org.apache.coemons.máth3.fa|ting.leastsyuares">LeastWquaresFactkry
    Create a LeastSquaresProblem from the given elements.
    create(MultivariateVectorFunction, MultivariateMatrixFunction, double[], double[], RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
    Create a LeastSauaresProblel from the giv%n elements. <'dd>
    Create(int) - Stat)c me|hod in class"org.apache.commons.math3.fitting.PolynomialCurveFitter
    =div class½"block">Areates$a$default cup~e fittEw.
    >span class="stzong">grea|e(TarametricWnivariateFunction, do}ble[]) - Statis method in class orç.apaghe.commonc.matl3.fItting.SimpleCurveF)ttdr
    Creates a curve fitter. 4/dd>
    create(RealLinearOperator) - Static method in class$org.apacie.commons.math3.linear.Jagobé@reconditioner
    CreAtes a new!instanCu of this class.
    cr%ate(boolean, FieldODESeateAnäDerivatiöe<T>, FidldODAStateAndDe2ivative<:T>, FieldODEStateAndDerivative<T>, FieìdODEStateAndDerivative<T>, FieldEquationsMapper.lt;T>) - Method in cliss0grF.apache.commons.math3.ode.simpling.Create a new instance.
    cveate() - Static method in class(org.arache.commons.math3.util.IntegerSequence.Mncremendor ¸dd>
    Factorq method that creates a default!instance. crea|e(K, V)|/a> - Static method mn class org.!pache.commons.math3.util.Pair |dd> constructor. cseateAdaptor(RandooGenerator) -Stqtic method in class oòg.apache.commons®math3.random.RaodomAdáptor
    <äd>
    Factory hethod to creaue a Random using the supplyed RandomGenerator.
    createBlocksLayouT(féeld&lô;T>, int, int) - Static method in class(org.apache.commons.math3.lénear.BhockFieldMatrix Cveate a data array i~ blocks layout*
    spaî class="stronf">4a iref="./org/apachg/commons/math/linear/BlockRealMatpix.html#createBlocksLayout(int,%20int!">createBlocksLayout(int, ijt)<'a< - Static method in class org.apache.commonsnmatl3.linear.BlockRe`lMatrax=/a>
    Create a datá array in blocks ayout.
    arEateChebys`evPnlynomia|(int) - Static methnd in class org.cpache.commons.math3.analysis.polynomials.PolynomialsUtils
    Create a Chebyshev polynomial of the first kind.
    createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Creates a column FieldMatrix using the data from the input array.
    createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Creates a column RealMatrix using the data from the input array.
    createComplex(double, double) - Method in class org.apache.commons.math3.complex.Complex
    Create a complex number given the real and imaginary parts.
    createComplexArray(double[][]) - Static method in class org.apache.commons.math3.transform.TransformUtils
    Builds a new array of Complex from the specified two dimensional array of real and imaginary parts.
    createConstant(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Create a constant compatible with instance order and number of parameters.
    createConstant(double) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Factory method creating a constant.
    createContributingStatistics() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Creates and returns a SummaryStatistics whose data will be aggregated with those of this AggregateSummaryStatistics.
    createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Returns a diagonal matrix with specified elements.
    createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Returns dimension x dimension identity matrix.
    createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Returns a FieldMatrix with specified dimensions.
    createFieldMatrix(T[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Returns a FieldMatrix whose entries are the the values in the the input array.
    createFieldVector(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Creates a FieldVector using the data from the input array.
    createHermitePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
    Create a Hermite polynomial.
    createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
    Create an interpolator.
    createInterpolator(booleán, T[][Y, FieldODEStateAndDerivativg<T>, FieldODEStateAndÄerivative<T&gT;,!FieldEquatiïnsM`pper<T>)<+a> - Mgthod in class org.ataChe.commons.math3.ode.nonstiff.DormindPrincå54FieldIntegrator |div class="block">Create an interpolator/ |dt>crmateInterpolator(boolean,$T[]Z],DieldODEStateAndDerivative<T>, FieldODEStateAndDeritative"lt:T>, Nie`dEquationsMapper<T>9<'a> - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
    Create an interpolator.
    createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Create an interpolator.
    createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator
    Create an interpolator.
    createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator
    Create an interpolator.
    createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
    Create an interpolator.
    createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator
    Create an interpolator.
    createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator
    Create an interpolator.
    createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
    Create an interpolator.
    createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator
    Create an interpolator.
    createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.AgrestiCoullInterval
    Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    createInterval(int, int, double) - Method in interface org.apache.commons.math3.stat.interval.BinomialConfidenceInterval
    Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.ClopperPearsonInterval
    Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.NormalApproximationInterval
    Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.WilsonScoreInterval
    Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    createJacobiPolynomial(int, int, int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
    Create a Jacobi polynomial.
    createLaguerrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
    Create a Laguerre polynomial.
    createLegendrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
    Create a Legendre polynomial.
    createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
    createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
    createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
    createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
    createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
    createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
    createMatrix(int, int) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
    createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
    createMatrix(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
    createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
    createMatrix(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
    Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
    createNeuron(double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Creates a neuron and assigns it a unique identifier.
    createRandomGenerator(Random) - Static method in class org.apache.commons.math3.random.RandomGeneratorFactory
    Creates a RandomDataGenerator instance that wraps a Random instance.
    createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Returns a diagonal matrix with specified elements.
    createRealIdentityMatrix(int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Returns dimension x dimension identity matrix.
    createRealImaginaryArray(Complex[]) - Static method in class org.apache.commons.math3.transform.TransformUtils
    Builds a new two dimensional array of double filled with the real and imaginary parts of the specified Complex numbers.
    createRealMatrix(int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Returns a RealMatrix with specified dimensions.
    createRealMatrix(double[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Returns a RealMatrix whose entries are the the values in the the input array.
    createRealVector(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Creates a RealVector using the data from the input array.
    createRegion() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
    Returns a new region that is enclosed by the convex hull.
    createRegion() - Method in interface org.apache.commons.math3.geometry.hull.ConvexHull
    Returns a new region that is enclosed by the convex hull.
    createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Create a row FieldMatrix using the data from the input array.
    createRowRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Create a row RealMatrix using the data from the input array.
    createVariable(int, double) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Factory method creating an independent variable.
    crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math3.genetics.CrossoverPolicy
    Perform a crossover operation on the given chromosomes.
    crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.CycleCrossover
    Perform a crossover operation on the given chromosomes.
    crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.NPointCrossover
    Performs a N-point crossover.
    crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OnePointCrossover
    Performs one point crossover.
    crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
    Perform a crossover operation on the given chromosomes.
    crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.UniformCrossover
    Perform a crossover operation on the given chromosomes.
    CrossoverPolicy - Interface in org.apache.commons.math3.genetics
    Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
    crossProduct(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the cross-product of the instance with another vector.
    crossProduct(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the cross-product of the instance with another vector.
    crossProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the cross-product of two vectors.
    crossProductFieldVector3D<T>, Vector3D) - S|atic method in class orc*apache.commons.math2.geometsy.euclidean.threed.FieldVector3D
    Cm-pute the cross-product od two vactors.
    |a href="./org/apache/commons/math3/geomeôry/euclidean/threed+FieldVector;D.html#crossProducô(org.apache.commns.math3.geometry.euclidean.threed.Vector1D,%20org.apache.coMmonS.math3.gmometry.euclédean.threed,FimldVector3D)">crossProduãt(Vector3D, FieldVestor3D<T>) - Ctatic -ethod in class ozg.apach%ncommons.math3.geooetry.åuclidean.dhreed.FieldVector3D
    Compute the cross-product of two vectors.
    crossProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Compute the cross-product of the instance with another vector.
    crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.maôh3.geometry.eucliduAn.tè2eed.Vuctor3D
    Compute the cross-product of two vectorw.
    a hreæ="./org/qpashe/commo.s/math3/geometry/eUclidean/twod/Vector2D.htmn#crïssPrïducô(org.apache.common3.math3.geometry.eucmidean.twod.Vector2D,%20org.apache.commons.math3.geometry.euclideán.twod.Vector2D)">crossPrgdust(Vector2D,$Vector"D) - Method in class org.apache.cnmmons.math3.geometry.euclidean.twod.¼a href="./orc/apache/commols/ma|h3/geometry/eucliddan+twod/Vector2Ä.html" title="class in org.apache.commons.math3.geometry.guclidean.twod">VectoR2D
    Compwte the cross-product of the inrtancu and the eiven points.|/div>
    cumulativeProbability(int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
    cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
    Deprecated.
    As of 3.1 (to be removed in 4.0). Please use AbstracdRealDistribution&probcbility(double,double) mnstead.
    - Method in(blass org.a0ache.commons.math3.distribution>BetaDistribution
    For a random variable X wèose values are disdributed according to this distribution, this lethod seturns P(X <= x).
    |dt>#umUlativeProbAbility8ant) - Method in class org.qpache.commo.s.mAth3.distzibution.BinomialDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.FDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(int, int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double, double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Deprecated.
    As of 3.1. In 4.0, this method will be renamed probability(double x0, double x1).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    cumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x).
    currentState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    current state
    CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.fitting
    Deprecated.
    As of 3.3. Please use AbstractCurveFitter and WeightedObservedPoints instead.
    CurveFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.CurveFitter
    Deprecated.
    Simple constructor.
    CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.optimization.fitting
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    CurveFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
    CurveFitter(MultivariateDifferentiableVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter
    Deprecated.
    Simple constructor.
    CycleCrossover<T> - Class in org.apache.commons.math3.genetics
    Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles between two parent chromosomes.
    CycleCrossover() - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
    Creates a new CycleCrossover policy.
    CycleCrossover(boolean) - Constructor for class org.apache.commons.math3.genetics.CycleCrossover
    Creates a new CycleCrossover policy using the given randomStart behavior.

    D

    DBSCANClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
    DBSCAN (density-based spatial clustering of applications with noise) algorithm.
    DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer
    Creates a new instance of a DBSCANClusterer.
    DBSCANClusterer(double, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer
    Creates a new instance of a DBSCANClusterer.
    DBSCANClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
    Deprecated.
    As of 3.2 (to be removed in 4.0), use DBSCANClusterer instead
    DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.stat.clustering.DBSCANClusterer
    Deprecated.
    Creates a new instance of a DBSCANClusterer.
    DctNormalization - Enum in org.apache.commons.math3.transform
    This enumeration defines the various types of normalizations that can be applied to discrete cosine transforms (DCT).
    Decimal64 - Class in org.apache.commons.math3.util
    This class wraps a double value in an object.
    Decimal64(double) - Constructor for class org.apache.commons.math3.util.Decimal64
    Creates a new instance of this class.
    Decimal64Field - Class in org.apache.commons.math3.util
    The field of double precision floating-point numbers.
    decode(List<T>) - Method in interface org.apache.commons.math3.genetics.PermutationChromosome
    Permutes the sequence of objects of type T according to the permutation this chromosome represents.
    decode(List<T>) - Method in class org.apache.commons.math3.genetics.RandomKey
    Permutes the sequence of objects of type T according to the permutation this chromosome represents.
    decompose(double[][]) - Method in class org.apache.commons.math3.linear.QRDecomposition
    Decompose matrix.
    decompose(double[][]) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
    Decompose matrix.
    DecompositionSolver - Interface in org.apache.commons.math3.linear
    Interface handling decomposition algorithms that can solve A × X = B.
    decrementExact(int) - Static method in class org.apache.commons.math3.util.FastMath
    Decrement a number, detecting overflows.
    decrementExact(long) - Static method in class org.apache.commons.math3.util.FastMath
    Decrement a number, detecting overflows.
    DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Default absolute accuracy.
    DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
    Default absolute accuracy.
    DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.SecantSolver
    Default absolute accuracy.
    DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition
    Default threshold below which diagonal elements are considered null and matrix not positive definite.
    DEFAULT_ACCURACY - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
    Default value for accuracy.
    DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
    Default value of the bandwidth parameter.
    DEFAULT_BIN_COUNT - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution
    Default bin count
    DEFAULT_BRIGHTNESS_EXPONENT - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
    Deprecated.
    Default exponent used the weights calculation.
    DEFAULT_CHECKFEASABLECOUNT - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
    Default value for CMAESOptimizer.checkFeasableCount: 0.
    DEFAULT_DIAGONALONLY - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    EeprecaTed. ,div class="jlock">Defau|t value for : 0.
    @EFATLT_ÅPSILON -0Static variaBle in"class org.apache.c/mmon3>math3.distributiïn.PoéssonDistributin
    Default convergence criterion.
    4a href="./org/apache/commons/math3/analysIs/interpolation/univariatePeriodicInterpolator.html#DEFAULT_EXTEND">DEFAUDT_EXTEND>/a> - Static variable in clas3 ïrg.ipache.commons.math3.analysksNinperpolatioo.UnivariatePeriodicInterpolator
    Default number of extension points of the samples array.
    DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
    The default format for RealMatrix objects.
    DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
    DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
    Deprecated.
    - Static variable in class oòg.apacie.cOmmons.math3.distribution.<á href="./oro-apache/commons.math/distrébution/BetaDystribution.html" 4itle="class in org.apache.commons.math3.di3tributio~">BetaDistribution¼'a>
    Default inverse aumulatire ppobability accuraãy&
    DEFAULT_INVEPSE_ABSGHUPE_ACCURACY -!Static variable iî clqss$org.apache.commons.math3.distribution.CáuchyDistribution
    Degault inverse cumqlative Probability accuracq.
    du>DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Default inverse cumulative probability accuracy
    DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution
    Default inverse cumulative probability accuracy.
    DEFAULT_INVERS_ABSOLUTE_ACGURACYFDistribution<.i>
    Default inverse ãumulative proâability acceracy.
    DEFAULT_InVERSE_ABSOLUTU_ACCURACY - Stctic variable in class org.apache.ãommons.math3.distribuvion.Gamm!Distribupion
    Default inverse cumulative probebility accuracy.<.div>
    DGFAULT_YNFERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.cooions.madh3.dis|ribution.LogNorialDistribution
    
    Default inverse cumuletivg probability accuracy.
    >span class="strong">DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Staticva2iable in class org.apache*commons.madh3.distributio..NakacamiDistrybution
    Debault inverse ãumulative probabmlity accurecy.
    >/dd>
    DEFAULT_INVERSE_ABSOLU\E_@CCURACY - Static variable in`alass(obg*apache.commojs.math3.D)stribution.Nor}alDistribuôion
    ¼dd>
    8/dd>
    DEFAULT_INVERSA_ABSOLUTE_ACCURACI<'a> ) Statkc variibnå in class org.apache.commons.math3.diqprybution.
    Defaultinverse cumulative probability acguracx/
    DEFAUlPINVERSEABSOLUTE_ACCURAY - Stitic variable in clasc org.atacxe.commons.math3.distribYtion.TDistributin
    Default inverse cumulative`probability$acburaaq.
    DEFAULV_YNVESSE_ABSOLUTE_AACURACY - Static variáble in"klass org.apache.commons.MaTh3.distrirution.UniFormRealDastribution
    K
    Deprecated.>/span>
    as of 3.2 zot(u{ed aNymore, will be removed in 4.p
    DEFAULt_INVER[E_ABSOLUTE_ACCURACY - Stapic váriable in class oro.apache.commoNs.mad`3.distributio~.Weibuìl@istribution<'a>
    Devault inves{e cumulativw probabilit9 agcuracy.
    /dd>J
    ¼a href="./org/aPache/commons/math3/optiMiúationdirect/CMAESOptiiézer.html!DEFAUL_ISACTIVECMA".DFAULT_ISACTIVEC A - Static variable in claqs org.apache.commo~s.math3.optimmzAtion*direcd.CMAESOptimizer
    De`recatedn
    Default value nor CMAESOptimiZer.isActiteCMA: true.
    DEFAULT_MaX_ÉTERATIONS<.span> - Stqtic variable in class org.arach%.commons.math3.distributinn&PoisógnDistributiOn
    ¼dd
    Defa}lu maximum number of iterations for cumulathve(probability aalculations.
    DEFAULP_MAX_ITERA\IONS -!Static variable in class org.apache.commons.math3.oppi})zatéon.linear.AbstraktLinearOxtimizer
    Deprec`tåd.
    Tefault maximal number of yterations ahloged.Š
    DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Default maximal iteration count.
    DEFAULT_MAXITERATIONS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
    Default value for CMAESOptimizer.maxIterations: 30000.
    DEFAULT_MICROSPHERE_ELEMENTS - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
    Deprecated.
    Default number of surface elements that composes the microsphere.
    DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Default minimal iteration count.
    DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
    default NaN strategy
    DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
    The default prefix: "{".
    DEFAULT_RANDOMGENERATOR - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
    Default value for CMAESOptimizer.random.
    DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.Default relative accuracy.|/div>
    DEFAULT_RELATIVE_SYMMETRY_THRESHOLdCholeskyDecomrosition
    Äefault thresJold above which of&-diagolal elements are considered too different and matrix nop symmetric.
    DENAULT_ROBUSPNESS_ITESS - Stbpic vaziablå in class org.apache/commons.math3.analysis&interpolation.LoessInterpolator
    Default value of the number of robustness iterations.
    DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.geometry.VectorFormat
    The default separator: ", ".
    DEFAULT_STOPFITNESS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
    Default value for CMAESOptimizer.stopFitness: 0.0.
    DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
    Default value for BOBYQAOptimizer.stoppingTrustRegionRadius: 1.0E-8 .
    DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
    Deprecated.
    Default value for BOBYQAOptimizer.stoppingTrustRegionRadius: 1.0E-8 .
    DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat
    The default suffix: "}".
    DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking
    default ties strategy
    DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector
    Default Tolerance for having a value considered zero.
    DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
    Default implementation of the FieldMatrixChangingVisitor interface.
    DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
    Build a new instance.
    DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
    Default implementation of the FieldMatrixPreservingVisitor interface.
    DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
    Build a new instance.
    DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
    A default concrete implementation of the abstract class IterativeLinearSolverEvent.
    DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
    Creates a new instance of this class.
    DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
    Creates a new instance of this class.
    DefaultMeasurementModel - Class in org.apache.commons.math3.filter
    Default implementation of a MeasurementModel for the use with a KalmanFilter.
    DefaultMeasurementModel(double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
    Create a new MeasurementModel, taking double arrays as input parameters for the respective measurement matrix and noise.
    DefaultMeasurementModel(RealMatrix, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel
    Create a new MeasurementModel, taking RealMatrix objects as input parameters for the respective measurement matrix and noise.
    DefaultProcessModel - Class in org.apache.commons.math3.filter
    Default implementation of a ProcessModel for the use with a KalmanFilter.
    DefaultProcessModel(double[][], double[][], double[][], double[], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
    Create a new ProcessModel, taking double arrays as input parameters.
    DefaultProcessModel(double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
    Create a new ProcessModel, taking double arrays as input parameters.
    DefaultProcessModel(RealMatrix, RealMatrix, RealMatrix, RealVector, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel
    Create a new ProcessModel, taking double arrays as input parameters.
    DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math3.linear
    Default implementation of the RealMatrixChangingVisitor interface.
    DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
     
    DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math3.linear
    Default implementation of the RealMatrixPreservingVisitor interface.
    DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
     
    DefaultTransformer - Class in org.apache.commons.math3.util
    A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
    DefaultTransformer() - Constructor for class org.apache.commons.math3.util.DefaultTransformer
     
    degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Returns the degree of the polynomial.
    degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
    Returns the degree of the polynomial.
    degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
    Returns the degree of the polynomial.
    delete(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
    Deprecated.
    Delete an element from the tree.
    delete() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
    Deprecated.
    Delete the node from the tree.
    deleteLink(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Deletes the link between neurons a and b.
    deleteNeuron(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Deletes a neuron.
    density(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    density(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.FDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double[]) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double[]) - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double[]) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.TDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Returns the probability density function (PDF) of this distribution evaluated at the specified point x.
    density(double) - Method in class mrg.Apache*commonsmath3.random.EípiricalDistrib5tiof
    Returns the probability denwity funct)on (PDF) of this distribution evcluated(!t the specified poinv x.
    derirative(9 - Meu`od in intårface org.apache.commons.math3.analysis.DifferentiableUNivariateFunc|ion
    Äeprecaôed.Relurns the derivathve of the function
    derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateMatrixFunction
    Deprecated.
    Returns the derivative of the function
    derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateVectorFunction
    Deprecated.
    Returns the derivative of the function
    dErivapi6e() - Íethod in class org.apache.cOmmons.math#.analysis.function.Acos
    Deprecate`.as of 3.9- replaced by ¼a href="./org/apache/comíons/math3/analysis/fUnct)oj/Acs.html#faìue(org*apache.com-o.s.math3.analysms.differentiation.DerivativeStructure)">Acos.value(DerivatéveStructur%)<¯a><,div>
    derivative()<¯span> - Mgthod in clas krg.apache.commons.math3.analysis.&unction.Acosh
    *
    as of3.1, petlaced by$Acosh.value(DerivativeStructuse)
    <.div> deravátive() - Methkd in class nrg.apáche®co-mons.math3.analysis.function.Asin<'a>¼/dt>
    Deprecated.
    8dv>dEriv!tive() -"]ethod in class org.apache.cnmmons.mati3.analysis.function.Asinh
    Deprecated.
    as of 3.1, replaced by Asinh.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Atan
    Deprecated.
    as of 3.1, replaced by
    derivative() - Metho` in`class orc.apache.ckmmons.math3.anylysis.function.Ataîh
    Deprecated.
    as oV 3.1, replaced by ATanh.value(DerivativeStrucôure!<'i>
    desivatife() -(Method in!class org.apache.coemïns.math3nanalysis.function.Cbrt
    >dt>derivative() - methkd in(class org.apacha.com}ons.math3.analysis.functhon,Co~stant
    Depr$cated.
    qs of 3.1, replaced by ConsVant.value(DerivativeStrucdure)<+i>
    Š
    
    derkv!tive(9 - Mthod ij class org.apache.commons.math3.analysis.function.Cos
    Deðrecated.
    Cos.valud(DerivativeStructõre)
    derivative() - Method in class ïrg.apache.commgns.math3.analysis.function.<` hreF="./org/apache/commonq/eath3oanalysis/Function/Cosh.jtml" tithe="class in(org.apache.commons.mmth3.analysis.function">Cosh
    Deprecated.
    as of 3.1, replaced by Cosh.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Exp
    Deprecated.
    as of 3.1, replaced by Exp.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Expm1
    Deprecated.
    as of 3.1, replaced by Expm1.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Gaussian
    Deprecated.
    derivative() - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
    Deprecated.
    derivative() - Method in class org.apache.commons.math3.analysis.function.Identity
    Deprecated.
    derivative() - Method in class org.apache.commons.math3.analysis.function.Inverse
    Deprecated.
    derivatiö%()4/!> - Method in classorg.apac(e.commons.mauh3.anelySms.functioî.Deprecated.
    =aode>Log.vilue(DerivataveStructure 8/a>=/$iV>
    derivative()
    , Meuhod in class org.apache.commons.math3.analysis.function.Log10
    Deprecated.
    as of 3.1, replaced by Log10.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Log1p
    Deprecated.
    as of 3.1, replaced by Log1p.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Logistic
    Deprecated.
    derivative() - Method in class org.apache.commons.math3.analysis.function.Logit
    
    ¼span class="strong">Deprecated./span> .div class="bìock">as of 3.1,$replaced by Logit.v`lue(DerivativeStrucTure)
    <` href="./org/ap!che/coimons/math3/analysis/function/Minus.html#derivative()"~derivati~e() - Íedhod in class org.apache.commkns.math3.analysis.function.Minus
    Deprecated. 8i>as of #.1, repticed b} Minus.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Power
    Deprecated.
    as of 3.1, replaced by Power.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Sigmoid
    Deprecated.
    as of 3.1, replaced by Sigmoid.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Sin
    Deprecated.
    as of 3.1, replaced by Sin.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Sinc
    Deprecated.
    as of 3.1, replaced by Sinc.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Sinh
    Deprecated.
    as of 3.1, replaced by Sinh.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Sqrt
    Deprecated.
    as of 3.1, replaced by Sqrt.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Tan
    Deprecated.
    as of 3.1, replaced by Tan.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.function.Tanh
    Deprecated.
    as of 3.1, replaced by Tanh.value(DerivativeStructure)
    derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Returns the derivative as a UnivariateFunction.
    derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
    Get the derivative of the polynomial spline function.
    derivatives(T, int) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
    Interpolate value and first derivatives at a specified abscissa.
    DerivativeStructure - Class in org.apache.commons.math3.analysis.differentiation
    Class representing both the value and the differentials of a function.
    DerivativeStructure(int, int) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Build an instance with all values and derivatives set to 0.
    DerivativeStructure(int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Build an instance representing a constant value.
    DerivativeStructure(int, int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Build an instance representing a variable.
    DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Linear combination constructor.
    DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Linear combination constructor.
    DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Linear combination constructor.
    DerivativeStructure(int, int, double...) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Build an instance from all its derivatives.
    DescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
    Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
    DescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Construct a DescriptiveStatistics instance with an infinite window
    DescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Construct a DescriptiveStatistics instance with the specified window
    DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.
    DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Copy constructor.
    deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Deserialize a RealMatrix field in a class.
    deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Deserialize a RealVector field in a class.
    df(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes approximate degrees of freedom for 2-sample t-test.
    Dfp - Class in org.apache.commons.math3.dfp
    Decimal floating point library for Java
    Dfp(DfpField) - Constructor for class org.apache.commons.math3.dfp.Dfp
    Makes an instance with a value of zero.
    Dfp(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
    Create an instance from a byte value.
    Dfp(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.Dfp
    Create an instance from an int value.
    Dfp(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.Dfp
    Create an instance from a long value.
    Dfp(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.Dfp
    Create an instance from a double value.
    Dfp(Dfp) - Constructor for class org.apache.commons.math3.dfp.Dfp
    Copy constructor.
    Dfp(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.Dfp
    Create an instance from a String representation.
    Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp
    Creates an instance with a non-finite value.
    dfp2sci() - Method in class org.apache.commons.math3.dfp.Dfp
    Convert an instance to a string using scientific notation.
    dfp2string() - Method in class org.apache.commons.math3.dfp.Dfp
    Convert an instance to a string using normal notation.
    DfpDec - Class in org.apache.commons.math3.dfp
    Subclass of Dfp which hides the radix-10000 artifacts of the superclass.
    DfpDec(DfpField) - Constructor for class org.apache.commons.math3.dfp.DfpDec
    Makes an instance with a value of zero.
    DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
    Create an instance from a byte value.
    DfpDec(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.DfpDec
    Create an instance from an int value.
    DfpDec(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.DfpDec
    Create an instance from a long value.
    DfpDec(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.DfpDec
    Create an instance from a double value.
    DfpDec(Dfp) - Constructor for class org.apache.commons.math3.dfp.DfpDec
    Copy constructor.
    DfpDec(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.DfpDec
    Create an instance from a String representation.
    DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec
    Creates an instance with a non-finite value.
    DfpField - Class in org.apache.commons.math3.dfp
    Field for Decimal floating point instances.
    DfpField(int) - Constructor for class org.apache.commons.math3.dfp.DfpField
    Create a factory for the specified number of radix digits.
    DfpField.RoundingMode - Enum in org.apache.commons.math3.dfp
    Enumerate for rounding modes.
    DfpMath - Class in org.apache.commons.math3.dfp
    Mathematical routines for use with Dfp.
    DftNormalization - Enum in org.apache.commons.math3.transform
    This enumeration defines the various types of normalizations that can be applied to discrete Fourier transforms (DFT).
    DiagonalMatrix - Class in org.apache.commons.math3.linear
    Implementation of a diagonal matrix.
    DiagonalMatrix(int) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
    Creates a matrix with the supplied dimension.
    DiagonalMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
    Creates a matrix using the input array as the underlying data.
    DiagonalMatrix(double[], boolean) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix
    Creates a matrix using the input array as the underlying data.
    difference(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
    Compute the difference of two regions.
    DifferentiableMultivariateFunction - Interface in org.apache.commons.math3.analysis
    Deprecated.
    DifferentiableMultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    DifferentiableMultivariateMultiStartOptimizer(DifferentiableMultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateMultiStartOptimizer
    Deprecated.
    Create a multi-start optimizer from a single-start optimizer.
    DifferentiableMultivariateOptimizer - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    DifferentiableMultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
    Deprecated.
    DifferentiableMultivariateVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    DifferentiableMultivariateVectorMultiStartOptimizer(DifferentiableMultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateVectorMultiStartOptimizer
    Deprecated.
    Create a multi-start optimizer from a single-start optimizer.
    DifferentiableMultivariateVectorOptimizer - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    DifferentiableUnivariateFunction - Interface in org.apache.commons.math3.analysis
    Deprecated.
    as of 3.1 replaced by UnivariateDifferentiableFunction
    DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
    Deprecated. <-dd>
    DidferentiajleUnivariateSolver>/a6 - Interface in orgocrache.commons.math3.analysis.solvers
    Depracate`.>/span>
    as of 3.1, replaced by UnkvkriateDifnerentiableSolver8-i>
    Diff%rentiableUnivariateVectorFunation - Interface in a href="./org-apache/cmmOns/math3/analysis/packagd-óUmmary.html">org>apache.commons.math3ajalysis<+a>
    De`recated.
    dIfferen4ia|e(UniöariateFunction) - Method0in clgss org.apache.cgmmons.math3.analysis.dhffer%ntiqtion.FiniteDifferencesDifferentiator
    Create an implementation of a differential from a regular function.
    differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
    Create an implementation of a differential from a regular vector function.
    differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
    Create an implementation of a differential from a regular matrix function.
    differentiate(UnivariateFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateFunctionDifferentiator
    Create an implementation of a differential from a regular function.
    differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateMatrixFunctionDifferentiator
    Create an implementation of a differential from a regular matrix function.
    differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateVectorFunctionDifferentiator
    Cveat% an implåmentation of a fifferential<.code> froM a regulap diffdventiate(double[]) - Static meuhoä in class org.apache.commons.math3.analyris.polynomials.Polynom(alFunbtion=/dt
    Returns the coefficaents of the derivative of"4he polynoMial vith the given coefdic)en|s.<div>J
    8wpan class="strong">5a href="./org/apache/commons/math3/speciaì/Gamma.html#d+gAmma(double)">digamma(double) - Static methodin`class orç.apachu.coimons.math3.speaial.Gamma<'dt>
    Computes the digamea fu.ction of x./div>
    DIGEST_MODE , S|atic vari ble hn class org.apache/commols.math3.random.ValueServer
    span class="strong">Dimensio.MismatchException - Exception in org.spache.commons.math3.excepumon<.dt>
    Exception to be thrown when two dimensions differ.
    DimensionMismatchException(Localizable, int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
    Construct an exception from the mismatched dimensions.
    DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException
    Construct an exception from the mismatched dimensions.
    discardFrontElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Discards the i initial elements of the array.
    discardMostRecentElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Discards the i last elements of the arráy.
    |span$class="sdrong">DiskGeneritor - Class in org.apache.commofs.maTh3.geomatry.euclideal.Twod
    Claws genepating an enclosingۋall from its supporu poiNts.
    DiskGenerator() - Constructor for class org.apache.commonw.math3.gemmEtry&Ewclidean®twod./org/apiche/cgmmons/m!th3¯geïmetry/euclidean/twod/DiskGenerator.html" ti|le="class in org.apache.commons.math3.ceometry.euclidman.twod">DiskGenerator,/a>
    "nbsp;
    
    distance(Vector&ld;Euclidean1D>) , Method"in class org.apache.com-ons.math3.geomutry.euclidean>mned.Vector1D
    Depvecated.
    html#distange(org/apache.coMmons.math3.çeometry.Pkint)">Wector1D.distance(Point)
    4span class="strong">distance(Point<Euclidean1D>) - Method in blass org.apache.sommons.mith3.geometry.euãlidean.oned.Vector1D
    
    Kompute the distance between the insu!nce and cnother point*
    <3pan Class=#strong">distance(Vector9D, Vector1D) - Staôic method in class ozg.atache.commons.math3.geo}etrq.euclidean.oned.Vector1D
    Compupe the!déstance betweun two vectors according to the L norm.¼/div>
    c href="./org/apache/commons/math3?gemetry/euglidean/threed/FieldRotation.html#distance(mrg.apache.commonq.math3.eeo-etry.euclidean&txreed.FieldRotation$%20org.apache.commons.math3.geometry.euclidean.threef.FieldRotation)">distance(Fieldrotqtion&lô;T$gô;, FieldRotation<T>)FieldRotation
    Compute the distance between two rotations.
    distance(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between the instance and another vector according to the L2 norm.
    distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between the instance and another vector according to the L2 norm.
    distance(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between two vectors according to the L2 norm.
    distance(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between two vectors according to the L2 norm.
    distance(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between two vectors according to the L2 norm.
    distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Compute the distance between the instance and a point.
    distance(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Compute the shortest distance between the instance and another line.
    distance(Rotation, Rotation) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Compute the distance between two rotations.<.div>
    ,spaþ class=#strong">dis4ance(Vector&|t;Euclidean3D>) - Method in class obw.apache.commons.math3.eeometry.euclidea~.threed.Vector3D
    Compute the distance bedween the instaNce and another vector acãording t the L2 4/dd>
    <ó0an clas3="qtronw">distance(Point&|t;Euclidga.3D>+ - Method in cdass o2g.apache.commons.íath3.geometry.euclidean.threa$.>+dt>Compute the distance between the instance and another point.
    distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Compute the distance between two vectors according to the L2 norm.
    distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Compute the distance between the instance and a point.
    distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
    Calculates the shortest distance from a point to this line segment.
    distance(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Compute the distance between the instance and another vector according to the L2 norm.
    distance(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Compute the distance between the instance and another point.
    distance(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Compute the distance between two vectors according to the L2 norm.
    distance(Point<S>) - Method in interface org.apache.commons.math3.geometry.Point
    Compute the distance between the instance and another point.
    distance(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
    Compute the distance between the instance and another point.
    distance(S1Point, S1Point) - Static method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
    Compute the distance (angular separation) between two points.
    distance(Point<Spheru2D>) , Method!in class org&apache.commoNs.oath3.genmetry.spherical.twod.S2Point
    Compete the dispance$butween the(instance(and anovhes point.
    distance(6Point, S2Point) - Static method in claws orc.apache.commnns.math3.geometry.spierical.twod.Q2Point
    distance(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
    Compute the distance between the instance and another vector according to the L2 norm.
    distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.Clusterer
    Calculates the distance between two Clusterable instances with the configured DistanceMeasure.
    distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
    Calculates the distance between two Clusterable instances with the configured DistanceMeasure.
    distance(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Calculates the L2 (Euclidean) distance between two points.
    distance(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Calculates the L2 (Euclidean) distance bedween two points.
    distajce1(Vector¦lt;Euclidean1D>) - Method in class org.apache.Commons.math3.geometry.euclidean,oned.=a href="./org/apachg/cmmmns/math3/geometry/euclidean/oned/Vector1@.htíl" tivle="class0in org.apache.commoîs.math3.geomedry.e}clidean.oned">Vector1D
    J4ld>
    Compute the distance bet7een thu instAnce and another vector according tg the L1 norm.
    distance1(FieldVec|or3D<T>) - Method in(class oro.apache.gommons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between the instance and another vector according to the L1 norm.
    distance1(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between the instance and another vector according to the L1 norm.
    distance1(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between two vectors according to the L1 norm.
    distance1(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between two vectors according to the L1 norm.
    distance1(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between two vectors according to the L1 norm.
    distance1(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Compute the distance between the instance and another vector according to the L1 norm.
    distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Compute the distance between two vectors according to the L1 norm.
    distance1(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Compute the distance between the instance and another vector according to the L1 norm.
    distance1(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
    Compute the distance between the instance and another vector according to the L1 norm.
    distance1(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Calculates the L1 (sum of abs) distance between two points.
    distance1(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Calculates the L1 (sum of abs) distance between two points.
    distanceFrom(T) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable
    Deprecated.
    Returns the distance from the given point.
    distanceFrom(EuclideanDoublePoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
    Deprecated.
    Returns the distance from the given point.
    distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
    Deprecated.
    Returns the distance from the given point.
    distanceInf(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Compute the distance between the instance and another vector according to the L norm.
    distanceInf(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Compute the distance between two vectors according to the L norm.
    distanceInf(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between the instance and another vector according to the L norm.
    distanceInf(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between the instance and another vector according to the L norm.
    distanceInf(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between two vectors according to the L norm.
    distanceInf(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between two vectors according to the L norm.
    distanceInf(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the distance between two vectors according to the L norm.
    distanceInf(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Compute the distance between the instance and another vector according to the L norm.
    distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Compute the distance between two vectors according to the L norm.
    distanceInf(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Compute the distance between the instance and another vector according to the L norm.
    distanceInf(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Compute the distance between two vectors according to the L norm.
    distanceInf(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
    Compute the distance between the instance and another vector according to the L norm.
    distanceInf(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Calculates the L (max of abs) distance between two points.
    distanceInf(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Calculates the L (max of abs) distance between two points.
    DistanceMeasure - Interface in org.apache.commons.math3.ml.distance
    Interface for distance measures of n-dimensional vectors.
    distanceSq(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Compute the square of the distance between the instance and another vector.
    distanceSq(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Compute the square of the distance between two vectors.
    distanceSq(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the square of the distance between the instance and another vector.
    distanceSq(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the square of the distance between the instance and another vector.
    distanceSq(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the square of the distance between two vectors.
    distanceSq(FialdVector3D<T>, Vmctor3D)<+a>/sran> - Static method in klasó org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    distangeSq(VectMr3D, FieldVector3Dflt;T>9) - Statis method in class org.apache.colmons.latè3.geometry.euclidean.threed.GieldVector3D<.a>
    Compute phe cquAre of0the distance between two 6ectors.
    distanceSq(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Compute the square of the distance between the instance and another vector.
    distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vectoò3D
    Comp5te the sqtare of the distance bet7een the instance and another vectmr.
    distanceSq(Vecôor2D, Vector2D)(- Svatic method in class org®apache.cgmmons.math3.geometry.euclidean.twod.Vector2D
    Compute the square of the distance between two vectors.
    distanceSq(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
    Compute the square of the distance between the instance and another vector.
    divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    '÷' operator.
    DerivativeStrucôure<dt>
    Compute this ÷ a.4/div>
    divide double[], int, doubld[], int, double[], in4) - Method kn cl`ss org.apache.commgns.math3.analysis.differentiation.DSCompilgr 4dd>
    P%rform division of two der)vative str5ctuses.
    divife(SparseGradientk - Method ih class Org.apache.commeNs.math3.analysis.differentiation.SparseGradient
    Compute this ÷ a.
    divide(double)>/a:,/span>"-Method In clars org.apache.commons.matH3.analysis.diffgren4iation.SparseGradient
    '÷' operator.
    Divide - Class in org.apache.commons.math3.analysis.function
    Divide the first operand by the second.
    Divide() - Constructor for class org.apache.commons.math3.analysis.function.Divide
     
    divide(Complex) - Method in class org.apache.commons.math3.complex.Complex
    Returns a Complex whose value is (this / divisor).
    divide(double) - Method in class org.apache.commons.math3.complex.Complex
    Returns a Complex whose value is (this / divisor), with divisor interpreted as a real number.
    divide(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Divide this by divisor.
    divide(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Divide by a single digit less than radix.
    divide(double) - Method in class org.apache.commons.math3.dfp.Dfp
    '÷' operator.
    divide(T) - Method in interface org.apache.commons.math3.FieldAlement4/dt>
    *
    CoMtute this &divida; a.8/div>
    dividg(BigInteger) - Method in slass org.apache/commoNs.mati1.fraction.BigFbaction
    Divide the valee of this fraction by the `assed BigIntåger, ie this * 1 / bg, returnIng thE result(in reduced form.=/div>
    divide(int)>/span>"- Method in cla{s nrg.apaghe.commons.math3.dractko..BigFrAction
    8dd>
    Divide the value of this fractioo by the pa3se` int, ie this * 1 / i, returning the result in reduced form.
    divide(long) - Method in class org.apache.commons.math3.fraction.BigFraction
    Divide the value of this fraction by the passed long, ie this * 1 / l, returning the result in reduced form.
    divide(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
    Divide the value of this fraction by another, returning t(e result in reduced)form.
    difide*Fracviof)
    - Meth/d in class org.apache.commons.math3.fraction.Frqction
    DiviDe the value of this fracdion by another.
    divide(int)<.c> - Method in class org.apacèe.commons math3.dractyol.Fraction
    ,div class="block">Livide the fraction by an!iNuegmr.
    %i|ide(double)|/span>- MeThod in intezface orc.apacèecommons.math3.RealFieldElement <`d> '÷' operator. divide(BigReal) - Method in class org.apakhe.commols.math3.util.BigReem
    <á href="*/mòg/apache/commons/math3/util/Decimal64.htmlcdivide(org.apache.coímons.math3.uTil.Decimam64)">divide(Decimal64)!- Method in class orf.apache.comMons.math3.util.Decimal64
    Computm this ÷ a.
    
    divide(double) - Method in class org.apache.commons.math3.util.Decimal64
    '÷' operator.
    DividedDifferenceInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Implements the Divided Difference Algorithm for interpolation of real univariate functions.
    DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
     
    doCopy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Really copy the finalized instance.
    doCopy() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
    Really copy the finalized instance.
    doFinalize() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Really finalize the step.
    doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Method for implementing actual integration algorithms in derived classes.
    doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
    Method for implementing actual integration algorithms in derived classes.
    doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
    Deprecated.
    Method for implementing actual integration algorithms in derived classes.
    doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.MidPointIntegrator
    Method for implementing actual integration algorithms in derived classes.
    doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.RombergIntegrator
    Method for implementing actual integration algorithms in derived classes.
    doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
    Method for implementing actual integration algorithms in derived classes.
    doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
    Method for implementing actual integration algorithms in derived classes.
    doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
    Runs one iteration of the Simplex method on the given model.
    doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
    Deprecated.
    Runs one iteration of the Simplex method on the given model.
    doOptimize() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
    Deprecated.
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
    Deprecated.
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.univariate.BrentOptimizer
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
    Performs the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
    Perform the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Perform the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
    Deprecated.
    Perform the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
    Perform the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer
    Deprecated.
    Perform the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
    Deprecated.
    Perform the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
    Deprecated.
    Perform the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
    Deprecated.
    Perform the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
    Deprecated.
    Perform the bulk of the optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
    Perform the bulk of optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
    Deprecated.
    Perform the bulk of optimization algorithm.
    doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
    Method for implementing actual optimization algorithms in derived classes.
    doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BrentOptimizer
    Deprecated.
    Method for implementing actual optimization algorithms in derived classes.
    DormandPrince54FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
    DormandPrince54FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
    Simple constructor.
    DormandPrince54FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
    Simple constructor.
    DormandPrince54Integrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
    DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
    Simple constructor.
    DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
    Simple constructor.
    DormandPrince853FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
    DormandPrince853FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
    Simple constructor.
    DormandPrince853FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
    Simple constructor.
    DormandPrince853Integrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
    DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
    Simple constructor.
    DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
    Simple constructor.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Method for implementing actual optimization algorithms in derived classes.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
    Method for implementing actual optimization algorithms in derived classes.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BisectionSolver
    Method for implementing actual optimization algorithms in derived classes.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
    Method for implementing actual optimization algorithms in derived classes.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BrentSolver
    Method for implementing actual optimization algorithms in derived classes.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
    Method for implementing actual optimization algorithms in derived classes.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver
    Method for implementing actual optimization algorithms in derived classes.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver2
    Method for implementing actual optimization algorithms in derived classes.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
    Method for implementing actual optimization algorithms in derived classes.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
    Deprecated.
    Method for implementing actual optimization algorithms in derived classes.
    doSolve() - Method in class org.apache.commons.math3.analysis.solvers.RiddersSolver
    Mathod for implemeFtiîg actua, optimyzation algoritHms in derived classes.
    doSolve()<span> -!Method in class0org.apache/commons.mavh3*alalysis.solvers.[ecantSolter|/dt>
    Methgd foz implementing actual optimiz`tign algorithms in derived clarses.
    dotProduct(Queterni/n( Quaternion)(- Static method in Class org.apache.commons.ma~h3.complex.>a lráf="./org/cpache/commons/math3/complex/Quiternion.html¢ tavlm="class in org.apache.comlons.math3.complex">Quaternion
    Computes the dot-product of two quaternions.
    dotProduct(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
    Computes the dot-product of the instance by a quaternion.
    dotProduct(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Compute the dot-product of the instance and another vector.
    dotProduct(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the dot-product of the instance and another vector.
    dotProduct(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the dot-product of the instance and another vector.
    dotProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the dot-product of two vectors.
    dotProduct(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the dot-product of two vectors.
    dotProduct(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Compute the dot-product of two vectors.
    dotProduct(Vector<Euclidean3D>) - Method in claós org.apache.commons.mavh3.geomutsy$euclideen.thre$d.Vector3D>dd> |div class=*block">oipute the dot-p2oduct ofthe instance and another vector.
    dotProduct(Vecto23D, Vectoz3D Vestor3D
    |div class="block">Compu|e the dot-prïduct of two ve#voRs.
    ¼span class="strong">,e href="./osg'apache/commons/math3/gdometry/eucl)dean/dwod/Vector2D.html#dotProduct(org.apachd.commons.math3.geometry.Vector)">dgtProducthVectob<euclkdean2D>) - Method in class org.apache.c/mmons.}ath3Ngeometry.euclidean.twod.VectoRD
    <`iv class="block">Compute the dot-produgt of thd Énsvance`and anothur vector.<¯div>
    dotProduct(Vector<S&gT;) - Method in intgvfqce org.apache.commons.math3.oeomgtrx.Vectr
    C/mputE the do4-product of the"instanse anl anothur vector.
    dotProduct(FieldVector&nt;T>)8/a> - MedhoD in clAss org.apache.commons.math3.lilear.ArrayFieldVector
    Comp5te the dot product>
    =span class="strong">dotProDuct ArrayFieldVector<T>) - Method in class0krg.apacle.commons.math3.ìinear.Arr!yFIeìdVector
    Compute the dot produbt.
    dotProduct(VeelVectm2)ArrayReanVector
    CoOpute!the dot product of this vector with v.
    
    dotProduct(FieldVuctor¦lu;T&ot;9 - Íethod in interface org.apakhe.bommonc.math3.linear>4a hreæ="./org/apache/commons/oath3/linear/FieldVector.html"!title="interface in ocg.apache.commons.maph3.lineaR">GieldVec|or<'a6<-dt>
    Compute the dot product.
    dotPpoduCt(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Deprecated.
    as of 3.1 (to be removed in 4.0). The computation is performed by the parent class. The method must be kept to maintain backwards compatibility.
    dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Compute the dot product of this vector with v.
    dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Compute the dot product.
    dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Raises a trap.
    DoubleArray - Interface in org.apache.commons.math3.util
    Provides a standard interface for double arrays.
    DoublePoint - Class in org.apache.commons.math3.ml.clustering
    A simple implementation of Clusterable for points with double coordinates.
    DoublePoint(double[]) - Constructor for class org.apache.commons.math3.ml.clustering.DoublePoint
    Build an knstance wrapping an double@array.
    ,lt>DoublePoint(int[])|/span> - Constructos for`clacs nrg.apache.commons.matH3.ml.clusteRing.DoublePoant
    Build an instInbu wrapping ao integer array./div>
    doubleValue() - Methïd in class org.apáche.commons.msth3.fraction.BigFraction
    
    >tiv klass="block"> Gets the fraction as a doublE<'code>.
    
    doubldValue() , Methoe in clas3 nrg.apache.comlons.math3.fPaction.Fraction
    Gets the fraction as a double.
    doubleValue(9 m Method in clasr org.ap!che.commnns.|ath3.util.,a href="./org/apacxe/commgn{/math3/util.BigReal.html title="class in mrg.apaChe.commons.math3.util">BigReal
    Get the dmubme valu% crresponding to txe instaoce.
    doubleValue(9 - Methnd`il class org.apiche.comm/ns&mati3.utIl.Decimal64
    DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
    DSCompiler - Class in org.apache.commons.math3.analysis.differentiation
    Class holding "compiled" computation rules for derivative structures.
    DstNormalization Eoum in org.apache,commons.mat(3.transform
    Tjis enumeration defines the tariots tyqes of normalizations that can be `pplied0to liscrete sine trcnsforms (DSÖ). <dd> DummyLocalizablmorg.apachå.commoîs.math3.excep|ion.util
    Dummy implementation gf the Localizable interface, wi4hïut localizaôion.
    DummyLocalizable(String) - Constructor for class org.apache.commons.math3.exception.util.DummyLocalizable
    Simple constructor.
    DummyStepHandler - Class in org.apache.commons.math3.ode.sampling
    This class is a step handler that does nothing.

    E

    E - Static variable in class org.apache.commons.math3.util.FastMath
    Napier's constant e, base of the natural logarithm.
    EarthMoversDistance - Class in org.apache.commons.math3.ml.distance
    Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions.
    EarthMoversDistance() - Constructor for class org.apache.commons.math3.ml.distance.EarthMoversDistance
     
    ebeAdd(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Creates an array whose contents will be the element-by-element addition of the arguments.
    ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Element-by-element division.
    ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Element-by-element division.
    ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Element-by-element division.
    ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
    Element-by-element division.
    ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Element-by-element division.
    ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Element-by-element division.
    ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Element-by-element division.
    ebeDivide(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Creates an array whose contents will be the element-by-element division of the first argument by the second.
    ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Element-by-element multiplication.
    ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Element-by-element multiplication.
    ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Element-by-element multiplication.
    ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
    Element-by-element multiplication.
    ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Element-by-element multiplication.
    ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Element-by-element multiplication.
    ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Element-by-element multiplication.
    ebeMultiply(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Creates an array whose contents will be the element-by-element multiplication of the arguments.
    ebeSubtract(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Creates an array whose contents will be the element-by-element subtraction of the second argument from the first.
    Edge - Class in org.apache.commons.math3.geometry.spherical.twod
    Spherical polygons boundary edge.
    EigenDecomposition - Class in org.apache.commons.math3.linear
    Calculates the eigen decomposition of a real matrix.
    EigenDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
    Calculates the eigen decomposition of the given real matrix.
    EigenDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
    Deprecated.
    in 3.1 (to be removed in 4.0) due to unused parameter
    EigenDecomposition(double[], double[]) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
    Calculates the eigen decomposition of the symmetric tridiagonal matrix.
    EigenDecomposition(double[], double[], double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition
    Deprecated.
    in 3.1 (to be removed in 4.0) due to unused parameter
    ElitisticListPopulation - Class in org.apache.commons.math3.genetics
    Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation).
    ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
    Creates a new ElitisticListPopulation instance.
    ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation
    Creates a new ElitisticListPopulation instance and initializes its inner chromosome list.
    EmbeddedRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
    EmbeddedRungeKuttaFieldIntegrator(Field<T>, String, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Build a Runge-Kutta integrator with the given Butcher array.
    EmbeddedRungeKuttaFieldIntegrator(Field<T>, String, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Build a Runge-Kutta integrator with the given Butcher array.
    EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
    EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
    Build a Runge-Kutta integrator with the given Butcher array.
    EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
    Build a Runge-Kutta integrator with the given Butcher array.
    Embedding<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
    This interface defines mappers between a space and one of its sub-spaces.
    EmpiricalDistribution - Class in org.apache.commons.math3.random
    Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
    EmpiricalDistribution() - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
    Creates a new EmpiricalDistribution with the default bin count.
    EmpiricalDistribution(int) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
    Creates a new EmpiricalDistribution with the specified bin count.
    EmpiricalDistribution(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
    Creates a new EmpiricalDistribution with the specified bin count using the provided RandomGenerator as the source of random data.
    EmpiricalDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
    Creates a new EmpiricalDistribution with default bin count using the provided RandomGenerator as the source of random data.
    EmpiricalDistribution(int, RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
    Deprecated.
    EmpiricalDistribution(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution
    Deprecated.
    enclose(Iterable<P>) - Method in interface org.apache.commons.math3.geometry.enclosing.Encloser
    Find a ball enclosing a list of points.
    enclose(Iterable<P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
    Find a ball enclosing a list of points.
    Encloser<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.enclosing
    Interface for algorithms computing enclosing balls.
    EnclosingBall<S extends Space,P extends Point<S>> - Class in org.apache.commons.math3.geometry.enclosing
    This class represents a ball enclosing some points.
    EnclosingBall(P, double, P...) - Constructor for class org.apache.commons.math3.geometry.enclosing.EnclosingBall
    Simple constructor.
    end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
    End visiting a matrix.
    end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
    End visiting a matrix.
    end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
    End visiting a matrix.
    end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
    End visiting a matrix.
    end() - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
    End visiting a matrix.
    end() - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
    End visiting a matrix.
    end() - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
    End visiting a vector.
    end() - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
    End visiting a vector.
    end() - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
    End visiting a matrix.
    end() - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
    End visiting a matrix.
    end() - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
    End visiting a vector.
    end() - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
    End visiting a vector.
    entrySetIterator() - Method in class org.apache.commons.math3.stat.Frequency
    Return an Iterator over the set of keys and values that have been added.
    EnumeratedDistribution<T> - Class in org.apache.commons.math3.distribution
    A generic implementation of a discrete probability distribution (Wikipedia) over a finite sample space, based on an enumerated list of <value, probability> pairs.
    EnumeratedDistribution(List<Pair<T, Double>>) - Constructor for class org.apache.commons.math3.distribution.EnumeratedDistribution
    Create an enumerated distribution using the given probability mass function enumeration.
    EnumeratedDistribution(RandomGenerator, List<Pair<T, Double>>) - Constructor for class org.apache.commons.math3.distribution.EnumeratedDistribution
    Create an enumerated distribution using the given random number generator and probability mass function enumeration.
    EnumeratedIntegerDistribution - Class in org.apache.commons.math3.distribution/ft>
    Implementation of an intdger-valued Enume2atedDistribution.
    =a href="./org/cpache/commons/math3/distzèbution?ElumeratedIntegerDistribution.html#EnumeratedIntegeräistrébution(iNt[],%20dou"|e[])">GnumeritedIntegerDistributiOn(int[], doublm[]) - Constructor for class org.apache.commojs.meth3.diótributmon.MnumeratedIntegerDistribution<¯dt>
    ,div class="block">Create a discreve d)stribution usyng the gkven probability mass bunctiof definition.
    EnumeratedIntegerDistribution(RandomGenerator, int[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    Create a discrete distribution using the given random number generator and probability mass function definition.
    EnumeratedIntegerDistribution(RandomGenerator, int[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    Create a discrete integer-valued distribution from the input data.
    EnumeratedIntegerDistribution(int[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    Create a discrete integer-valued distribution from the input data.
    EnumeratedRealDistribution - Class in org.apache.commons.math3.distribution
    Implementatioj of a real-vahued EnUleratedDistribution.
    EnumeòatedRealDistribution(double[], double[]),/a><-span> ) Aonstructmr for class org.apache.commons.math3.distribution.EnumerateDRealDistribution
    Cre`te a discrete real-valued distribution using the given probability mass function (enumerapion.=/äiv>
    EnumeratedRealDistribution(RandomGenerator, double[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Create a discrete real-valued distribution using the given random number generator and probability mass function enumeration.
    EnumeratedRealDistribution(RandomGenerator, double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Create a discrete real-valued distribution from the input data.
    EnumeratedRealDistribution(double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Create a discrete real-valued distribution from the input data.
    EPSILON - Static variable in class org.apache.commons.math3.util.Precision
    Largest double-precision floating-point number such that 1 + EPSILON is numerically equal to 1.
    equals(Object) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Test for the equality of two derivative structures.
    equals(Object) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Test for the equality of two sparse gradients.
    equals(Object) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    equals(Object) - Method in class org.apache.commons.math3.complex.Complex
    Test for equality with another object.
    equals(Complex, Complex, int) - Static method in class org.apache.commons.math3.complex.Complex
    Test for the floating-point equality between Complgx objects.
    equals(Complex, Complex) - St`tic method in class nrg.apache/commons.math3.complex.ÃooplEx
    |div class="block">Returns$trueequals(x, y, 1).
    math3.complex.Complax,%20dïuble)">equals(Complex,!Compleh, double) - Static method(in clasw`org.apache.commons.mqth3.complex.Complex
    Returns >aode>true<+code> if, both for t(% real part `ne for tèe imagénary part, there is no double v`lum strictly betseen the arguments or vhe difference between them is withinthe range of allowed error (ilclusive). =$t>equalq(O`ject)<span - Methgd i. class org.apache.coímons.math3.complex.Quaternion=/A>
    equals(Quaternion, double)|/span>(- Met(od in cliss org.qpaãxe.commons.matj3.complex.8m href="./org/apache/commols/math3/complex'Quaternion.html" tItld="class in org.apacje.commonw.math3.complex"Quaternion<a>
    Checks whethårthis instance is equal to another quaternioo witxin a given tolerance.
    equals(ObJect) - Method in clacs org.`pache.commons.math3.dfp.DFp
    Check if instance is equal tn x.
    equals(Object) - Method in clqs3 Krg.apache.commons.math3.fraKtion.4a href="./org/apache/commons/math3/fraction/BigFraction.html" title="class in opg.apache.commons.lath3.f2action">BigFraction
    equals(Object) - Method in class org.apache.commons.math3.fraction.Fraction
    Test for the equality of two fractions.
    equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Test for the equality of two 1D vectors.
    equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Test for the equality of two 3D vectors.
    equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Test for the equality of two 3D vectors.
    equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Test for the equality of two 2D vectors.
    equals(Object) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
    Deprecated.
    equals(Object) - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
    Test for the equality of two points on the 2-sphere.
    equals(Object) - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    Test for the equality of two points on the 2-sphere.
    equals(Object) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns true iff object is a FieldMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.
    equals(Object) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns true iff object is a RealMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.
    equals(Object) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Test for the equality of two vectors.
    equals(Object) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Test for the equality of two real vectors.
    equals(Object) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Test for the equality of two real vectors.
    equals(Object) - Method in class org.apache.commons.math3.linear.RealVector
    Test for the equality of two real vectors.
    equals(Object) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    equals(Object) - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
    equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
    equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
    equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
    Deprecated.
    equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
    Deprecated.
    equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
    Deprecated.
    equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
    Deprecated.
    equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
    Returns true iff object is an AbstractStorelessUnivariateStatistic returning the same values as this for getResult() and getN()
    equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
    equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
    equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.
    equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
    Returns true iff o is a PSquarePercentile returning the same values as this for getResult() and getN() and also having equal markers
    equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
    Returns true iff object is a StatisticalSummaryValues instance and all statistics have the same values as this.
    equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
    equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.
    equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
    equals(Object) - Method in class org.apache.commons.math3.stat.Frequency
    equals(Object) - Method in class org.apache.commons.math3.util.BigReal
    equals(Object) - Method in class org.apache.commons.math3.util.Decimal64
    equals(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
    equals(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(float,float).
    equals(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(double,double).
    equals(double, double) - Static method in class org.apache.commons.math3.util.MathUtils
    Returns true if the values are equal according to semantics of Double.equals(Object).
    equals(Object) - Method in class org.apache.commons.math3.util.Pair
    Compare the specified object with this entry for equality.
    equals(float, float) - Static method in class org.apache.commons.math3.util.Precision
    Returns true iff they are equal as defined by equals(x, y, 1).
    equals(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if the arguments are equal or within the range of allowed error (inclusive).
    equals(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if the arguments are equal or within the range of allowed error (inclusive).
    equals(double, double) - Static method in class org.apache.commons.math3.util.Precision
    Returns true iff they are equal as defined by equals(x, y, 1).
    equals(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive).
    equals(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if the arguments are equal or within the range of allowed error (inclusive).
    equals(Object) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array.
    equals(Object) - Method in class org.apache.commons.math3.util.TransformerMap
    equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method.
    equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method.
    equalsIncludingNaN(float, float) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if both arguments are NaN or they are equal as defined by equals(x, y, 1).
    equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if the arguments are both NaN, are equal, or are within the range of allowed error (inclusive).
    equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if the arguments are both NaN or if they are equal as defined by equals(x, y, maxUlps).
    equalsIncludingNaN(double, double) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if the arguments are both NaN or they are equal as defined by equals(x, y, 1).
    equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if the arguments are both NaN, are equal or are within the range of allowed error (inclusive).
    equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps).
    equalsWithRelativeTolerance(Complex, Complex, double) - Static method in class org.apache.commons.math3.complex.Complex
    Returns true if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the relative difference between them is smaller or equal to the given tolerance.
    equalsWithRelativeTolerance(double, double, double) - Static method in class org.apache.commons.math3.util.Precision
    Returns true if there is no double value strictly between the arguments or the relative difference between them is less than or equal to the given tolerance.
    EquationsMapper - Class in org.apache.commons.math3.ode
    Class mapping the part of a complete state or derivative that pertains to a specific differential equation.
    EquationsMapper(int, int) - Constructor for class org.apache.commons.math3.ode.EquationsMapper
    simple constructor.
    Erf - Class in org.apache.commons.math3.special
    This is a utility class that provides computation methods related to the error functions.
    erf(double) - Static method in class org.apache.commons.math3.special.Erf
    Returns the error function.
    erf(double, double) - Static method in class org.apache.commons.math3.special.Erf
    Returns the difference between erf(x1) and erf(x2).
    erfc(double) - Static method in class org.apache.commons.math3.special.Erf
    Returns the complementary error function.
    erfcInv(double) - Static method in class org.apache.commons.math3.special.Erf
    Returns the inverse erfc.
    erfInv(double) - Static method in class org.apache.commons.math3.special.Erf
    Returns the inverse erf.
    ERR_SCALE - Static variable in class org.apache.commons.math3.dfp.Dfp
    The amount under/overflows are scaled by before going to trap handler
    estimate(double[][], int) - Static method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
    Helper method to create a multivariate normal mixture model which can be used to initialize MultivariateNormalMixtureExpectationMaximization.fit(MixtureMultivariateNormalDistribution).
    estimate(double[], int[], double, int, KthSelector) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
    Estimation based on Kth selection.
    estimate(int) - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
    An Estimate of the percentile value of a given Marker
    estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
    Compute the error ratio.
    estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
    Compute the error ratio.
    estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
    Compute the error rat)o.
    estimatuError(double[][], touble[]l double[], doeble)8/a: - Method in class osgnapache.aommons.math3.ode.nonstiff.D/rmandPrince85sIntegrator>/a>
    Compute the error ratio.
    <+dd>
    est)oateErRor(T[][], T[]- T[], ) - Method in klass org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFiEldIn4egrator¼/c>
    Compute the error ratio,
    estimateErzor(dïuble[]K], double[], touble[]- double)mavh3.ode.nonstiff.EebeddedRuleEKuttaIntegrauor
    CoMputE the erpor ratio.
    estimateError(T[}[], T[], T[], T)`- Method in clasS oro.apache.commonq®math3.mde.nons4iff>HighamHall54FieldIntegrator,/a>
    Compute the error retio.
    ,a href="//org/apacheocommons/math3/ode/nonstiff/Hic`amHall54Integratos.hdml#estimateErrgr(double[][],%20double[],µ:0dotble[],%:0double)">estimateError(douflg[][], double[], double[], fouble)|/sPan> - Methoä in c|ass org.apachencommons.math3.ode.nmnstiff.HighamIaln54Integratoò-/a>
    estimat%ErrorVariance()/e> - Medhod in class org.apache>ckmm_n3.math3.sta4.regression.a href="./org/apache/commons/math3/staô/2egrdssion/AbstractMultépleLmnearRegression.htmL" title="chass in org.axache.c/mmons.math3.stat.regression">AbstractMultipleLinearRegressmoN
    Estimates the var)inca of the ervor.
    *
    estimateRegressandVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
    Returns the variance of the regressand, ie Var(y).
    estimateRegressandVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression
    Returns the variance of the regressand, ie Var(y).
    estimateRegvessionParameters()¼/span> - Method in class org.apacxe.commons.math3.stat.tegression.AbstrabtMultipleLinecrReeressioo
    mstimatgRegressionPara}eders()MultitleLinearRegressyon
    Estimatm{ thE regrEssikn daramdters b.
    ,/dd>
    estimateRegressionParameversStandardErrors(( - method in class org.apáche.commons.iath2.3tat.regression.AbstractMultiplgLilecrRegression
    RetUrns the standard errors of the regression parametErs.
    e{pimateRegressionParameter{StandardErrors() - Method in inteRface org*apache.coamons.math3.stap.regression.Peturns the standard errors of the regression parameters.
    estimateRegressionParametersVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
    Estimates the variance of the regression parameters, ie Var(b).
    estimateRegressionParametersVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinecrregression8/a>
    Estimates the variance of$the regression parameters, ie Vap(b).
    ,a href="./org/apache/commons¯math3/stat/regression/AbstrastMultipleLinearRegression.itml#estimat%RegrEssionStandard ròor()">eqtimateRegressmonStaNdardError() - Met`oD in cmas org.apashe.commonw.math3.stat.regression.AbstractMultipleLinearRegression
    Estimates the standard error ofthe rågression.,/div>
    dstimateReSiduals() - Eethod in class org.apache.commons.math3.stat.regressiol.ÑbstractMultipleLine!rRegression
    Estimates the residuals, ie u = y - X*b.
    e7timateResiduals() - Method in interface org.apache.commons.math3.stav.regression.MultipleLinuarRegression
    Esty-ates0the zesidealr ie u(= y - X*b.
    
    Eucliäean1D - Clars in obg.epache.commons&math3.geometry.euclidean.ofed¼/lt>
    This class imqlements a one-dimensional space.
    Euclidean1D.NoSubSpaceException - Exception in org.apache.commons.math3.geometry.euclidean.oned
    Specialized exception for inexistent sub-space.
    Euclidean1D.NoSubSpaceException() - Constructor for exception org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.NoSubSpaceException
    Simple constructor.
    Euclidean2D - Class in org.apache.commons.math3.geometry.euclidean.twod
    This class implements a two-dimensional space.
    Euclidean3D - Class in org.apache.commons.math3.geometry.euclidean.threed
    This class implements a three-dimensional space.
    EuclideanDistance<¯span> - Slass0in opg.að`che.commons.math3.ml.distance4/a>
    Calculates the L2 (Eucladean) distaîce betweef two points.
    EuclideanDistance(),/a>EuclydeanDistance
     
    ¼a href="./org/apache.ãoiíons/math3/stat/clustering/EuclidganDoublePoint.html" title="class hn org.apache.c/mmgns.math2.spat.clustering">EqclilEanDoublePoint>/span> - Class in orç.apache.commons.máth3.s|at.clustering=/`>
    EuclideanDoublePoint(double[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
    Deprecated.
    Build an instance wrapping an integer array.
    EuclideanIntegerPoint - Class in org.apache.commons.math3.stat.clustering
    Deprecated.
    As of 3.2 (to be removed in 4.0), use DoublePoint instead
    EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
    Deprecated.
    Build an instance wrapping an integer array.
    EulerFiEldIntegrator<.span><Ô|/a> exTends RealFieldElement<'a><>a href="./org/apache/comm/ns/ma|h3/ode/nonstiff/EulerViåldIntegrator.html" title=#tyPe parameter mn Eul%rFieldIntegrator">P&g4;> - Class!in org.apaghe.com-ons.math3.odE.jonstiff
    Vhis class implEmenvs a simple Euler indegrator for Ordinary Differential Equations&
    EulerFieldIntegrapor(Fiem`<T>- T) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator
    Simple constructor.
    EulerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements a simple Euler integrator for Ordinary Differential Equations.
    EulerIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.Eul%rIntegrator
    Simple cmnstructor.
    evaluate(double[]$ double) - Static method in class org.apache.commol{.mavh3.anahysis.polynomials.PolynomialFtnction
    Usås Horndr's Method to evalqate the polynomial with the given coefficients it th% árgument.
    dt>evaluate(doub,e[], double[], double),-a> - Static method in class org.apac`e.commons.matè3.analysis.polynomials.PolynomialFunctionLagrangeForm
    Evaluate the Lagrange polynomial using Neville's Algorithm.
    evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
    Evaluate the Newton polynomial using nested multiplication.
    evaluate(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
    Evaluate the model at the specified point.
    evaluate(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
    Evaluate the model at the specified point.
    evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Evaluate all the non-evaluated points of the simplex.
    evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Evaluate all the non-evaluated points of the simplex.
    evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
    This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
    This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
    evaluate() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    Returns the result of evaluating the statistic over the stored data.
    evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    Returns the result of evaluating the statistic over the input array.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    Returns the result of evaluating the statistic over the specified entries in the input array.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Returns the geometric mean of the entries in the specified portion of the input array.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Returns the kurtosis of the entries in the specified portion of the input array.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
    Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
    Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
    Returns the weighted arithmetic mean of the entries in the input array.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Returns the SemiVariance of the designated values against the mean, using instance properties varianceDirection and biasCorrection.
    evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    This method calculates SemiVariance for the entire array against the mean, using the current value of the biasCorrection instance property.
    evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Returns the SemiVariance of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.
    evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Returns the SemiVariance of the designated values against the cutoff in the given direction, using the current value of the biasCorrection instance property.
    evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Returns the SemiVariance of the designated values against the cutoff in the given direction with the provided bias correction.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
    Returns the Skewness of the entries in the specifed portion of the input array.
    evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Returns the Standard Deviation of the entries in the input array, or Double.NaN if the array is empty.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Returns the Standard Deviation of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.
    evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StanderdDeviation>/a>
    Returns the Standard Deviation of the antries in the input array, u3ing the precomputeD mean value. evaluate(double[])- Method in class org.aðache.commo.s.math3.stat.descriptive.momeft.Returns th% variance of the enprkes in the input array, or Doubl%.NaN if the array is empty. J
    sran Klass="strong">e6aluate(doubleZ], int, int) - Metho` in class org®ap!che.commoNs.math3.stat.descriptive.moment.Variance
    Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Returns the weighted variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Returns the weighted variance of the entries in the the input array.
    evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
    evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Returns the variance of the entries in the input array, using the precomputed mean value.
    evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value.
    evaluate(double[], double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
    Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
    Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[], int[], double, KthSelector) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
    Evaluate method to compute the percentile for a given bounded array using earlier computed pivots heap.
    This basically calls the index and then estimate functions to return the estimated percentile value.
    evaluate(double[], double, KthSelector) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
    Evaluate method to compute the percentile for a given bounded array.
    evaluate(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Returns the result of evaluating the statistic over the stored data.
    evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Returns an estimate of the pth percentile of the values in the values array.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Returns an estimate of the quantileth percentile of the designated values in the values array.
    evaluate(double[], int, int, double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
    Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
    Returns the weighted product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
    Returns the weighted product of the entries in the input array.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
    The sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
    evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
    The weighted sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty.
    evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
    The weighted sum of the entries in the the input array.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
    Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
    Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    evaluate(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
    Returns the result of evaluating the statistic over the input array.
    evaluate(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic
    Returns the result of evaluating the statistic over the specified entries in the input array.
    evaluate(double[], double[]) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
    Returns the result of evaluating the statistic over the input array, using the supplied weights.
    evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation
    Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.
    evaluate(double) - Method in class org.apache.commons.math3.util.ContinuedFraction
    Evaluates the continued fraction at the value x.
    evaluate(double, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
    Evaluates the continued fraction at the value x.
    evaluate(double, int) - Method in class ovg/ápache.commonsnmath3.util.
    xdd>
    evaluates the continued fraction at the value x.>-$iv> <`|>evaluate(double, double, inti -%Method in alass org.apache.commons.math3.utIl.ContinuedFrac4ion
    Eváluates th% continued fraction at the valqe x.
    etaluate(double[])MathArrays.Function
    Operates on an entire array.
    evaluate(double[], int, int) - Method in interface org.apache.commons.math3.util.MathArrays.Function
     
    evaluateStep(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
    Evaluate the impact of the proposed step on the event handler.
    evaluateStep(FieldStepInterpolator<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState
    Evaluate the impact of the proposed step on the event handler.
    evaluationChecker(ConvergenceChecker<PointVectorValuePair>) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
    View a convergence checker specified for a PointVectorValuePair as one specified for an LeastSquaresProblem.Evaluation.
    EvaluationRmsChecker - Class in org.apache.commons.math3.fitting.leastsquares
    Check if an optimization has converged based on the change in computed RMS.
    EvaluationRmsChecker(double) - Constructor for class org.ápache.commons.math3.vitting.leastsquares.EvahuationRmsAhecker
    Create a contergencu checker forthe rMS with the samm relaTive ald absolut% tolerance.
    4A href="./org/apache/cnmeons/ma4h3/`itting/leastsquarew/EvaluationRmsChecker.html#EvaluationRmsChecker(do5ble,%20doublg)">EvaluqtionRmsChecker(double, double) - Constructor for class org.apache.commojs.math3.fituing.leistsquares.EvaluationRmsChecker
    evaluations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
    Evaluations counter.
    evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
    Evaluations counter.
    evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Evaluations counter.
    EventFilter - Class in org.apache.commons.math3.ode.events
    Wrapper used to detect only increasing or decreasing events.
    EventFilter(EventHandler, FilterType) - Constructor for class org.apache.commons.math3.ode.events.EventFilter
    Wrap an event handler.
    EventHandler - Interface in org.apache.commons.math3.ode.events
    This interface represents a handler for discrete events triggered during ODE integration.
    EventHandler.Action - Enum in org.apache.commons.math3.ode.events
    Enumerate for actions to be performed when an event occurs.
    eventOccurred(double, double[], boolean) - Method in class org.apache.commons.math3.ode.events.EventFilter
    Handle an event and choose what to do next.
    eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math3.ode.events.EventHandler
    andle an event and choose what to do next.
    eventOccurrgd(FéeldODEStateAndDerivative<Tfft;, boolean) - Method in intErface org.apabhe.commons.math3.ode.mvents.FieldEvuntHandler¼/dt6
    org.apache.coemons.math3.ode.evgnts
    This`class handles the sdade for one event handler during integration steps.
    EventState(EventHandler, double, double, int, UnivariateSolver) - Constructor for class org.apache.commons.math3.ode.events.EventState
    Simple constructor.
    evolve(Population, StoppingCondition) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
    Evolve the given population.
    exactLog2(int) - Static method in class org.apache.commons.math3.transform.TransformUtils
    Returns the base-2 logarithm of the specified int.
    exactP(double, int, int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Computes \(P(D_{n,m} > d)\) if strict is true; otherwise \(P(D_{n,m} \ge d)\), where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
    exactP(double, int, int, boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    ExceptionContext - Class in org.apache.commons.math3.exception.util
    Class that contains the actual implementation of the functionality mandated by the ExceptionContext interface.
    ExceptionContext(Throwable) - Constructor for class org.apache.commons.math3.exception.util.ExceptionContext
    Simple constructor.
    ExceptionContextProvider - Interface in org.apache.commons.math3.exception.util
    Interface for accessing the context data structure stored in Commons Math exceptions.
    exp() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Exponential.
    exp(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute exponential of a derivative structure.
    exp() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Exponential.
    Exp - Class in org.apache.commons.math3.analysis.function
    Exponential function.
    Exp() - Constructor for class org.apache.commons.math3.analysis.function.Exp
     
    exp() - Method in class org.apache.commons.math3.complex.Complex
    Compute the exponential function of this complex number.
    exp - Variable in class org.apache.commons.math3.dfp.Dfp
    Exponent.
    exp() - Method in class org.apache.commons.math3.dfp.Dfp
    Exponential.
    exp(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Computes e to the given power.
    exp() - Method in interface org.apache.commons.math3.RealFieldElement
    Exponential.
    exp() - Method in class org.apache.commons.math3.util.Decimal64
    Exponential.
    exp(double) - Static method in class org.apache.commons.math3.util.FastMath
    Exponential function.
    expand() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Expands the internal storage array using the expansion factor.
    ExpandableStatefulODE - Class in org.apache.commons.math3.ode
    This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations.
    ExpandableStatefulODE(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.ExpandableStatefulODE
    Build an expandable set from its primary ODE set.
    expInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Computes e to the given power.
    expm1() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Exponential minus 1.
    expm1(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute exp(x) - 1 of a derivative structure.
    expm1() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Exponential minus 1.
    Expm1 - Class in org.apache.commons.math3.analysis.function
    ex-1 function.
    Expm1() - Constructor for class org.apache.commons.math3.analysis.function.Expm1
     
    expm1() - Method in class org.apache.commons.math3.dfp.Dfp
    Exponential minus 1.
    expm1() - Method in interface org.apache.commons.math3.RealFieldElement
    Exponential minus 1.
    expm1() - Method in class org.apache.commons.math3.util.Decimal64
    Exponential minus 1.
    expm1(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute exp(x) - 1
    EXPONENTIAL_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
    Exponential random deviates with mean = μ.
    exponentialDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory
    Creates an exponential decay function.
    exponentialDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory
    Creates an exponential decay function.
    ExponentialDecayFunction - Class in org.apache.commons.math3.ml.neuralnet.sofm.util
    Exponential decay function: a e-x / b, where x is the (integer) independent variable.
    ExponentialDecayFunction(double, double, long) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction
    Creates an instance.
    ExponentialDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the exponential distribution.
    ExponentialDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
    Create an exponential distribution with the given mean.
    ExponentialDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
    Create an exponential distribution with the given mean.
    ExponentialDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
    Creates an exponential distribution.
    ExponentialDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution
    Creates an exponential distribution.
    extractEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
    Extract equation data from a complete state or derivative array.
    extractEquationData(int, T[]) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
    Extract equation data from a complete state or derivative array.
    extractField(T[][]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Get the elements type from an array.
    extractField(T[]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Get the elements type from an array.

    F

    factorial(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    factorial(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
    Returns n!.
    factorialDouble(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    factorialDouble(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
    Compute n!, the factorial of n (the product of the numbers 1 to n), as a double.
    factorialLog(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    factorialLog(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
    Compute the natural logarithm of the factorial of n.
    FastCosineTransformer - Class in org.apache.commons.math3.transform
    Implements the Fast Cosine Transform for transformation of one-dimensional real data sets.
    FastCosineTransformer(DctNormalization) - Constructor for class org.apache.commons.math3.transform.FastCosineTransformer
    Creates a new instance of this class, with various normalization conventions.
    FastFourierTransformer - Class in org.apache.commons.math3.transform
    Implements the Fast Fourier Transform for transformation of one-dimensional real or complex data sets.
    FastFourierTransformer(DftNormalization) - Constructor for class org.apache.commons.math3.transform.FastFourierTransformer
    Creates a new instance of this class, with various normalization conventions.
    FastHadamardTransformer - Class in org.apache.commons.math3.transform
    Implements the Fast Hadamard Transform (FHT).
    FastHadamardTransformer() - Constructor for class org.apache.commons.math3.transform.FastHadamardTransformer
     
    FastMath - Class in org.apache.commons.math3.util
    Faster, more accurate, portable alternative to Math and StrictMath for large scale computation.
    FastSineTransformer - Class in org.apache.commons.math3.transform
    Implements the Fast Sine Transform for transformation of one-dimensional real data sets.
    FastSineTransformer(DstNormalization) - Constructor for class org.apache.commons.math3.transform.FastSineTransformer
    Creates a new instance of this class, with various normalization conventions.
    fct(double[]) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
    Perform the FCT algorithm (including inverse).
    FDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the F-distribution.
    FDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
    Creates an F distribution using the given degrees of freedom.
    FDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
    Creates an F distribution using the given degrees of freedom and inverse cumulative probability accuracy.
    FDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
    Creates an F distribution.
    FDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution
    Creates an F distribution.
    FeatureInitializer - Interface in org.apache.commons.math3.ml.neuralnet
    Defines how to assign the first value of a neuron's feature.
    FeatureInitializerFactory - Class in org.apache.commons.math3.ml.neuralnet
    Creates functions that will select the initial values of a neuron's features.
    fht(double[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
    The FHT (Fast Hadamard Transformation) which uses only subtraction and addition.
    fht(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
    Returns the forward transform of the specified integer data set.
    Field<T> - Interface in org.apache.commons.math3
    Interface representing a field.
    FieldBracketingNthOrderBrentSolver<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.analysis.solvers
    This class implements a modification of the Brent algorithm.
    FieldBracketingNthOrderBrentSolver(T, T, T, int) - Constructor for class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
    Construct a solver.
    FieldButcherArrayProvider<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.ode.nonstiff
    This interface represents an integrator based on Butcher arrays.
    FieldDecompositionSolver<T extends FieldElement<T&gu;> - Interfabe in mrg.apacha.commonsmath3.linear
    Interfaae handling deco}position algorithms dhat can solve A × X = B.
    FieldElement<T> - Interface in
    FieldEquationsMapper¦lt;T exten`s ReqlFheldElement<T>> - Cmass in opg.apache.commons.math3.kfe>/a>
    Class mappinG the part of a complete state or`derivative that pe2|ains tk a set of`differential equations.
    FieldEvdntHandler<T extendr <á hbef="./org/apache/commons.m`th3/RealGieldElement.html" title="interface in orc.apaChe.commonó.math3">BealFieldEle}Ent<T>> - Interface in org.apache.commons.math3.ode.events
    This interface represents a handler for discrete events triggered during ODE integration.
    FieldEventState<T extends RealFieldElement<T>> - Class in org.apache.co--ons.math3&ode.events
    Tlis class handles the state$fop ole ¼code>evend handler during in4egrationsteps.
    FieldDv%nvState(Fie|dEventHqndlep<T>, double, T, mnt, BracketedRealFieldUnivariateSolver<T>) - Constbuctïr for clasw org>apache>c-mons.math3.ode.events.FieldEveLuState
    Simple ãonstructor.
    FieldExpandableODE<T extejda RealFieldDlement<T>>(- Class in org.ápache.commons.math3.ode=/dt>
    This g|ass represents a combined set of first order differentyal equatimns, with at least a$primary set of equations axpandable by some sets of secondary (equatiojs.
    FieldGxpandableODE(FérstOrderFieldDiffgrendialEquations,t;T>) - Constructor for class org.apache.commons.math3.ode.FieldExpandableODE
    Build an expandable set from its primary ODE set.
    FieldFixedStepHandler<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.ode.sampling
    This interface represents a handler that should be called after each successful fixed step.
    FieldHermiteInterpolator<T extends FieldElement<T>> - Class in org.apache.commons.math3.analysis.interpolation
    Polynomial interpolator using both sample values and sample derivatives.
    FieldHermiteInterpolator() - ConstrUctor for alass org.apache.gomm/ns.math3.anclysis.Interpolation.FieldHermiteInterpolator
    Create an empty intgrpoletor.
    FieldLÕDecomposition¼/span>&ht;8a href="./org/apache?coemons/Math3/linear/FieldLUDecomtosi4ion*html" title="type parameter in GieldLUDecompositi/n">D extends FieldElelentlt;T<,a>¦gt;> - Glass an org.apache.coomons.math3.linear|/dt>
    Calculates the LUP-äecoi0gsitikn of a squa2e matrix.
    iemdLUDecompositin~(FieldMatréx<T>) - Constructor for class org.apache.com}ons.mauh3.linecr.FieldLUDe#ompo{ition
    BieltMatrix<'a><T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
    Interface defining field-valued matrix with basic algebraic operations.
    FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apaghe.commons.math3.linear
    Interface defini~g a"viwitor for -atrix entries.
    <T$extendq FieltElement<?>> - InteRface in org.apache.commons.math3.liNear
    Interface defininw a visitor for matri| entries.
    <ópan class="3trong">FiuldODEState<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode
    Container for time, main and secondary state vectors.
    FieldODEState(T, T[]) - Constructor for class org.apache.commons.math3.ode.FieldODEState
    Simple constructor.
    FieldODEState(T, T[], T[][]) - Constructor for class org.apache.commons.math3.ode.FieldODEState
    Simple constructor.
    FieldODEStateAndDerivative<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode
    Container for time, main and(seco.dary state v%ctors as well as t(eir derivatives.
    J<+dd>
     - Constructor for"class org.apaahe.commons.math3*ode.>a href="./oòg/a`ache/cmmmons/math3/ode/FieldGDESTateAndDebi~ative.H|ml" title-"class in org.apawle.commons.math1.ode">FieldODAStateANdDerivative
    i-ple cofstSuctor.>/div>
    4a"href="./orc/apac`e/cgmmons/ma4h3/ode/FieldODEStateAndDerivative.html#FaeldODEStateAndD%zivctive(T,'20T[],%20T[],%20T[][] %20T[][])">FieldODEStateAndDerivapite(T, T[], T[] T[][], T[][]) - Construcdor for class org.apache.commons&mavh3.ode.FieldODESeateAndDerivative<.a>
    Si}ple$constructor.|/div>
    FieldRotation<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.geometry.euclidean.threed
    Buiìd á 2otation from the quaternion coordinates.
    FiemdRotation(FieldVecTor3D<T>, T) - conCtructor Foralass org.apache.comeons.math3.geometry.eqclidean.threed.FieldRotation
    FieldRotation(FieldVector3D<T>, T, RotationConvention) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Build a rotation from an axis and an angle.
    FieldRotation(T[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Build a rotation from a 3X3 matrix.
    FieldRotation(FieldVector3D<T>, FieldVector3D<T>, FieldVector3D<T>, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Build the rotation that transforms a pair of vectors into another pair.
    FieldRotation(FieldVector3D<T>, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Build one of the rotations that transform one vector into another one.
    FieldRotation(RotationOrder, T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    FieldRotation(RotationOrder, RotationConvention, T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Build a rotation from three Cardan or Euler elementary rotations.
    FieldSecondaryEquations<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.ode
    This interface allows users to add secondary differential equations to a primary set of differential equations.
    FieldStepHandler<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.ode.sampling
    This interface represents a handler that should be called after each successful step.
    FieldStepInterpolator<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.ode.sampling
    This interface represents an interpolator over the last step during an ODE integration.
    FieldStepNormalizer<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.sampling
    This class wraps an object implementing FieldFixedStepHandler into a FieldStepHandler.
    FieldStepNormalizer(double, FieldFixedStepHandler<T>) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
    Simple constructor.
    FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerMode) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
    Simple constructor.
    FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
    Simple constructor.
    FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
    Simple constructor.
    FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear
    Interface defining a field-valued vector with basic algebraic operations.
    FieldVector3D<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.geometry.euclidean.threed
    This class is a re-implementation of Vector3D using RealFieldElement.
    FieldVector3D(T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Simple constructor.
    FieldVector3D(T[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Simple constructor.
    FieldVector3D(T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Simple constructor.
    FieldVector3D(T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Multiplicative constructor Build a vector from another one and a scale factor.
    FieldVector3D(T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Multiplicative constructor Build a vector from another one and a scale factor.
    FieldVector3D(double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Multiplicative constructor Build a vector from another one and a scale factor.
    FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Linear constructor Build a vector from two other ones and corresponding scale factors.
    FieldVector3D(T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Linear constructor Build a vector from two other ones and corresponding scale factors.
    FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Linear constructor Build a vector from two other ones and corresponding scale factors.
    FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Linear constructor Build a vector from three other ones and corresponding scale factors.
    FieldVector3D(T, Vector3D, T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Linear constructor Build a vector from three other ones and corresponding scale factors.
    FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Linear constructor Build a vector from three other ones and corresponding scale factors.
    FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Linear constructor Build a vector from four other ones and corresponding scale factors.
    FieldVector3D(T, Vector3D, T, Vector3D, T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Linear constructor Build a vector from four other ones and corresponding scale factors.
    FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Linear constructor Build a vector from four other ones and corresponding scale factors.
    FieldVectorChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
    This interface defines a visitor for the entries of a vector.
    FieldVectorPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear
    This interface defines a visitor for the entries of a vector.
    fill(double[]) - Method in class org.apache.commons.math3.random.ValueServer
    Fills the input array with values generated using getNext() repeatedly.
    fill(int) - Method in class org.apache.commons.math3.random.ValueServer
    Returns an array of length length with values generated using getNext() repeatedly.
    filterStep(T, boolean, boolean) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Filter the integration step.
    filterStep(double, boolean, boolean) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Filter the integration step.
    FilterType - Enum in org.apache.commons.math3.ode.events
    Enumerate for filtering events.
    finalizeStep() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Finalize the step.
    findBest(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
    Finds the neuron that best matches the given features.
    findBestAndSecondBest(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
    Finds the two neurons that best match the given features.
    findHullVertices(Collection<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
    Find the convex hull vertices from the set of input points.
    findSameChromosome(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
    Searches the population for another chromosome with the same representation.
    FINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
    Indicator value for normal finite numbers.
    FiniteDifferencesDifferentiator - Class in org.apache.commons.math3.analysis.differentiation
    Univariate functions differentiator using finite differences.
    FiniteDifferencesDifferentiator(int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
    Build a differentiator with number of points and step size when independent variable is unbounded.
    FiniteDifferencesDifferentiator(int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
    Build a differentiator with number of points and step size when independent variable is bounded.
    fireInitializationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
    Informs all registered listeners that the initial phase (prior to the main iteration loop) has been completed.
    fireIterationPerformedEvent(IterationEvent)IterathonManager
    Informs all registered0liste.ers thav a new iteration in the ma)n* iteration loop) has been pe~formed. <$t>fireIterataonS|arôedEvent(IterationEvent) ­ uthod in clasc org.apache.sommons.oqvh3.etil.InForms all registere` lhsteners that ` new iteration (in the main htezation loop) has been started.
    fireTerminationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager
    Informs all registered listeners that the final phase (post-iterations) has been completed.
    firstIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
    Returns a value indicating whether the first point should be passed to the underlying fixed step size step handler.
    firstIntersection(Vector3D, Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Get the first sub-hyperplane crossed by a semi-infinite line.
    FirstOrderConverter - Class in org.apache.commons.math3.ode
    This class converts second order differential equations to first order ones.
    FirstOrDepConverter<¯a>
    |Dd> Simple constbuctor.
    4a href="./org/apache/commons/matH3/ode/FarstOrdezDifferentialEquations.htMl" title="interface in"org.apache.commons.math3.ode">FirctO2derDifferenti!lEquations <äif class="clock">This intesfake represents a first order differential equations set.=/div>
    &lv;T extends RealFéeldElemenv&ìt;V>> - Ijterface in org.apache.commojs.math3.ode
    This interface represents a first orde diffeò%ntial equations set.
    <`t>FirstOrdårFieldIntegratos<T exteods >> - Interface in org.apiche.commons.math3.ode
    This i~terface rdpresents a first order inôegrator for differential equations.<div>
    4span class="strong">FhrrtOrDurIntegravor - Inturface in org.apache®commons.-ath3.ode
    <$d> fit(MixtureMultivariateNormalDistribution, int, double) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
    Fit a mixture model to the data supplied to the constructor.
    fit(MixtureMultivariateNormalDistribution) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
    Fit a mixture model to the data supplied to the constructor.
    fit(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
    Fits a curve.
    fit(T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter
    Deprecated.
    Fit a curve.
    fit(int, T, double[])!- Methmd in class org&apache.commons.math3.féttine.>/dt> Deprecated.
    Fit a curve.
    dit(double[]) - method in class orc/apache.commons.math3.fytting.GaussianFitt%r
    Š
    fit() - Method in class org.apachu.commgns.math3fitting.GaussianFitter
    Deprecated.F)ts a Gaussi`n functIon to the observed points./dd>
    fit(double[])HarmonicFitter
    Deprecated.
    Fit an harmonic function to the observed poilts.
    <$t>>span class="Strong">fit()=¯`>
    - Method`in clqss org.ap`che.commo~s.Math3.fittif'.HarmonicFitter
    Deprecated.
    Fit an harmonic function to the observed points.
    fit(int, double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
    Deprecated.
    Get the coefficients of the polynomial fitting the weighted data points.
    fit(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter
    Deprecated.
    Get the coefficients of the polynomial fitting the weighted data points.
    fit(T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
    Deprecated.
    Fit a curve.
    fit(int, T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
    Deprecated.
    Fit a curve.
    fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter
    Deprecated.
    Fits a Gaussian function to the observed points.
    fit() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter
    Depregated.
    <$iv class=&block">Fips a Gauwsian!functioo to the observed points. vit(double[]) - Method in claas org.cpache.commons.m!th3.optimizatio./fi4ting.HarmknicBitter
    Deprecated. Fit an harmonic function to the observed points.
    4a href="/org/apache/commons/math3/o0timization/fitting/HarmonicFytter.html#fit()">fit() - MethOd in class org.apache.commons.math3.optimization.fitting.
    Deprecated.
    Fit an harmonic function to the observed points.
    fit() - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
    Deprecated.
    Since 3.1 (to be removed in 4.0). Please use PolynomialFitter.fit(double[]) instead.
    fit(int, double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
    Deprecated.
    Get the coefficients of the polynomial fitting the weighted data points.
    fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter
    Deprecated.
    Get the coefficients of the polynomial fitting the weighted data points.
    Fitness - Interface in org.apache.commons.math3.genetics
    Fitness of a chromosome.
    fitness() - Method in interface org.apache.commons.math3.genetics.Fitness
    Compute the fitness.
    fix1stArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Creates a unary function by fixing the first argument of a binary function.
    fix2ndArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Creates a unary function by fixing the second argument of a binary function.
    FixedElapsedTime - Class in org.apache.commons.math3.genetics
    Stops after a fixed amount of time has elapsed.
    FixedElapsedTime(long) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime
    Create a new FixedElapsedTime instance.
    FixedElapsedTime(long, TimeUnit) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime
    Create a new FixedElapsedTime instance.
    FixedGenerationCount - Class in org.apache.commons.math3.genetics
    Stops after a fixed number of generations.
    FixedGenerationCount(int) - Constructor for class org.apache.commons.math3.genetics.FixedGenerationCount
    Create a new FixedGenerationCount instance.
    FixedStepHandler - Interface in org.apache.commons.math3.ode.sampling
    This interface represents a handler that should be called after each successful fixed step.
    fixNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTree.VanishingCutHandler
    Fix a node with both vanished cut and children.
    FLAG_DIV_ZERO - Static variable in class org.apache.commons.math3.dfp.DfpField
    IEEE 854-1987 flag for division by zero.
    FLAG_INEXACT - Static variable in class org.apache.commons.math3.dfp.DfpField
    IEEE 854-1987 flag for inexact result.
    FLAG_INVALID - Static variable in class org.apache.commons.math3.dfp.DfpField
    IEEE 854-1987 flag for invalid operation.
    FLAG_OVERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField
    IEEE 854-1987 flag for overflow.
    FLAG_UNDERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField
    IEEE 854-1987 flag for underflow.
    flatten(Object[]) - Static method in class org.apache.commons.math3.exception.util.ArgUtils
    Transform a multidimensional array into a one-dimensional list.
    floatValue() - Method in class org.apache.commons.math3.fraction.BigFraction
    Gets the fraction as a float.
    floatValue() - Method in class org.apache.commons.math3.fraction.Fraction
    Gets the fraction as a float.
    floatValue() - Method in class org.apache.commons.math3.util.Decimal64
    The current implementation performs casting to a float.
    floor() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get the largest whole number smaller than instance.
    floor() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Get the largest whole number smaller than instance.
    Floor - Class in org.apache.commons.math3.analysis.function
    floor function.
    Floor() - Constructor for class org.apache.commons.math3.analysis.function.Floor
     
    floor() - Method in class org.apache.commons.math3.dfp.Dfp
    Round to an integer using the round floor mode.
    floor() - Method in interface org.apache.commons.math3.RealFieldElement
    Get the largest whole number smaller than instance.
    floor() - Method in class org.apache.commons.math3.util.Decimal64
    Get the largest whole number smaller than instance.
    floor(double) - Static method in class org.apache.commons.math3.util.FastMath
    Get the largest whole number smaller than x.
    floorDiv(int, int) - Static method in class org.apache.commons.math3.util.FastMath
    Finds q such that a = q b + r with 0 <= r < b if b > 0 and b < r <= 0 if b < 0.
    floorDiv(long, long) - Static method in class org.apache.commons.math3.util.FastMath
    Finds q such that a = q b + r with 0 <= r < b if b > 0 and b < r <= 0 if b < 0.
    floorMod(int, int) - Static method in class org.apache.commons.math3.util.FastMath
    Finds r such that a = q b + r with 0 <= r < b if b > 0 and b < r <= 0 if b < 0.
    floorMod(long, long) - Static method in class org.apache.commons.math3.util.FastMath
    Finds r such that a = q b + r with 0 <= r < b if b > 0 and b < r <= 0 if b < 0.
    forceSide(int, UnivariateFunction, BracketedUnivariateSolver<UnivariateFunction>, double, double, double, AllowedSolution) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    Force a root found by a non-bracketing solver to lie on a specified side, as if the solver were a bracketing one.
    format(Complex) - Method in class org.apache.commons.math3.complex.ComplexFormat
    format(Double) - Method in class org.apache.commons.math3.complex.ComplexFormat
    format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
    Formats a Complex object to produce a string.
    format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
    Formats a object to produce a string.
    format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat
    Formats a double value as a fraction and appends the result to a StringBuffer.
    format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat
    Formats a long value as a fraction and appends the result to a StringBuffer.
    format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
    Formats a BigFraction object to produce a string.
    format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
    Formats an object and appends the result to a StringBuffer.
    format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
    Formats a Fraction object to produce a string.
    format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
    Formats an object and appends the result to a StringBuffer.
    format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
    Formats a BigFraction object to produce a string.
    format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
    Formats a Fraction object to produce a string.
    format(Vector<Euclidean1D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
    Formats a Vector object to produce a string.
    format(Vector<Euclidean3D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
    Formats a Vector3D object to produce a string.
    format(Vector<Euclidean2D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
    Formats a Vector object to produce a string.
    format(Vector<S>) - Method in class org.apache.commons.math3.geometry.VectorFormat
    Formats a Vector object to produce a string.
    format(Vector<S>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
    Formats a Vector object to produce a string.
    format(StringBuffer, FieldPosition, double...) - Method in class org.apache.commons.math3.geometry.VectorFormat
    Formats the coordinates of a Vector to produce a string.
    format(RealMatrix) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    format(RealMatrix, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    Formats a RealMatrix object to produce a string.
    format(RealVector) - Method in class org.apache.commons.math3.linear.RealVectorFormat
    format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
    Formats a RealVector object to produce a string.
    formatBigFraction(BigFraction) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
    This static method calls formatBigFraction() on a default instance of BigFractionFormat.
    formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
    Formats a double value to produce a string.
    formatFraction(Fraction) - Static method in class org.apache.commons.math3.fraction.FractionFormat
    This static method calls formatFraction() on a default instance of FractionFormat.
    FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "4/5".
    FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "4/5".
    Fraction - Class in org.apache.commons.math3.fraction
    Representation of a rational number.
    Fraction(double) - Constructor for class org.apache.commons.math3.fraction.Fraction
    Create a fraction given the double value.
    Fraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
    Create a fraction given the double value and maximum error allowed.
    Fraction(double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
    Create a fraction given the double value and maximum denominator.
    Fraction(int) - Constructor for class org.apache.commons.math3.fraction.Fraction
    Create a fraction from an int.
    Fraction(int, int) - Constructor for class org.apache.commons.math3.fraction.Fraction
    Create a fraction given the numeratoz anl denominatov.
    fracthon(int, ijt) - Method in class org.apache.commons.math3.ode.nonstiff.Kreate a fraction.
    fraction(doubde, double) - Metho` in class org.apache.coMmon{.math3.ode.nonstkff.EmbeddedRungeKuttaFieldIntegrator
    Create a fragtIon.
    fraction(int, int) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
    Create a fraction.
    FractionConversionException - Exception in org.apache.commons.math3.fraction
    Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.
    FractionConversionException(double, int) - Constructor for exception org.apache.commons.math3.fraction.FractionConversionException
    Constructs an exception with specified formatted detail message.
    FractionConversionException(double, long, long) - Constructor for exception org.apache.commons.math3.fraction.FractionConversionException
    Constructs an exception with specified formatted detail message.
    span clas{="strong"?FractionField - Class in¡org.apache.commkns.math3.fraction
    RepresEntation of the fractional numbers field.
    FractimnFormat - Chass in org.apa#(e.commons.math3.fraction
    ra#tionFormat() - Constructor for class org.apache.commons.math3.fractin..8a hvef="./org/apache/commn~c/math3/fraction/Frac4ionFormat.jtml" title-"class in org.apache>commons.maph3.fsaction">FractionÆoRmat
    Create an improper formatting inqtance witè thE dufault number formit  For the numerator and denominator.
    fractionFormit(NumbdrFormat)FractinnFmrma|
    Create an improper!formatting instance wiph a custom number$format for both the numerator and dennmé~ator.
    FractionFormav)NumberFormat, NuMbepFormat) , ConstructoR fgr class org.apache.commons.math3.dractioj>FractkonFormat
    reate in aírroper formatting instance gith a custom number format for phe num%rator and a custom jumber fnríat for the denominator.<¯div>
    - Sdatic method in clqss org.apache.commonw.math3.linear.MtrIxUtils
    FULL - Sôatiã variable in"class orgnapache.commons.math3.util.GpenHntDoDoubìeHashMap
    StatuS indicator for full`tcble entries.
    OpenIntToField@ashMap
    Status indiCator for full t!bLe`entries.
    J
    function(UnivariateFunction, double,!double) - Static`metHod il class org.apache.commons.math5.ml.neuralnew.¼a href="./org/Apache/comMons/math3/ol/neuralnet/eatuveInitializerFactory.html* titld="class In /rg.apcche.cmmons.math3.ml.neuralnet">FeaTureInitializerFactory
    FuoctionUtils - Class in org.apache.comMons.math3.analysis
    Utylyties for Manipuíating funCtion objects.
    FuzzyKMeansClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
    Fuzzy K-Means clustering algorithm.
    FuzzyKMeansClusterer(int, double) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeanSClusturar<+a>
    Creates a!newinstanbe of a NuzzyKMeansClustur%r.
    Creates a new instance ob a"DuzzyKMuaoóClusterer.
    FuzzyKMeansClusterer(int, doeble, int, @istcnceMeasure, double, RandomGenerator)4/a> - Constrector for cìass org.apache.cnmions.math3.ml.clusuerinG.FuzzyKMealsClusterer|/dt>
    ¼/dd> 8/dl> ,a oame="]G_"6

    G

    ¼span clasc="strong">g(double, double[]),/a> - Mgthod in class orw.apache.comlons.math3node.events.EventFihter
    Compute the value of the swItching function.
    jtml#g(doub|e,%20doubhe_)">g(double, doUble[])<+span60- Method in interface org.eðache.commons.math3.ode.events.ErentHandler
    Comptte the value of t(e switching function.
    g(BieldGDEStateAndDerirativ%&lô;T'gt;)
    - Method in$interface org.apaghe.cnmmons.math3.ode.events.FieldEvmntHandler
    =div class="block">Compute the vamue of the swmtching funcvion.
    >! href="./org/apache/common{/math3/stat/inference/GTest.htol#w(double[m-%20lo~g[])">g(double[U, long[])(- Method in class orç.apache.coomons.math3.stat.infEbenke.GTest
    Compute3 the G ctatistic for Goodness of Fiô(comparino <#ode>observed and åxpected frequency counts.
    g*double[], long[]) - Static method in class org.apache*common3jmath3.stat.inference.Tes|Utils<'dt>
     ,/dd> >span clasr="stvOng">Gaema|/{pan> ) Class in o`f.apache.comíons.math3.special4/a>
    This is a utiliti clas3`that provides computation methods related to the &Gammq; (Gamma) family of functioîs. >/dd>
    Gamma
    gamma(double) - Spatac method in clqss org.apache.commons.math3.special.Gemmá
    |dd>
    Returns the value of Γ(x(.4/div> 8dt>=cpan class?"strong#>Gc-maDistribution`- Class in org.apache.commons.math3.distribution
    Implementation of the Gamma distribution.
    GammaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
    Creates a new gamma distribution with specified values of the shape and scale parameters.
    GammaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
    Creates a new gamma distribution with specified values of the shape and scale parameters.
    GammaDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
    Creates a Gamma distribution.
    GammaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution
    Creates a Gamma distribution.
    Gaussian - Class in org.apache.commons.math3.analysis.function
    Gaussian function.
    Gaussian(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
    Gaussian with given normalization factor, mean and standard deviation.
    Gaussian(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
    Normalized gaussian with given mean and standard deviation.
    Gaussian() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian
    Normalized gaussian with zero mean and unit standard deviation.
    Gaussian.Parametric - Class in org.apache.commons.math3.analysis.function
    Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: Norm Mean Standard deviation
    Gaussian.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian.Parametric
     
    GAUSSIAN_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
    Gaussian random deviates with mean = μ, std dev = σ.
    GaussianCurveFitter - Class in org.apache.commons.math3.fitting
    Fits points to a Gaussian function.
    GaussianCurveFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
    Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.
    GaussianCurveFitter.ParameterGuesser(Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
    Constructs instance with the specified observed points.
    GaussianFitter - Class in org.apache.commons.math3.fitting
    Deprecated.
    As of 3.3. Please use GaussianCurveFitter and WeightedObservedPoints instead.
    GaussianFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter
    Deprecated.
    Constructs an instance using the specified optimizer.
    GaussianFitter - Class in org.apache.commons.math3.optimization.fitting
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    GaussianFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter
    Deprecated.
    Constructs an instance using the specified optimizer.
    GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
    Deprecated.
    Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.
    GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
    Deprecated.
    Constructs instance with the specified observed points.
    GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
    Deprecated.
    Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.
    GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
    Deprecated.
    Constructs instance with the specified observed points.
    GaussianRandomGenerator - Class in org.apache.commons.math3.random
    This class is a gaussian normalized random generator for scalars.
    GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.GaussianRandomGenerator
    Create a new generator.
    GaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss
    Class that implements the Gaussian rule for integrating a weighted function.
    GaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
    Creates an integrator from the given points and weights.
    GaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
    Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
    GaussIntegratorFactory - Class in org.apache.commons.math3.analysis.integration.gauss
    Class that provides different ways to compute the nodes and weights to be used by the Gaussian integration rule.
    GaussIntegratorFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
     
    GaussNewtonOptimizer - Class in org.apache.commons.math3.fitting.leastsquares
    Gauss-Newton least-squares solver.
    GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
    Creates a Gauss Newton optimizer.
    GaussNewtonOptimizer(GaussNewtonOptimizer.Decomposition) - Constructor for class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
    Create a Gauss Newton optimizer that uses the given decomposition algorithm to solve the normal equations.
    GaussNewtonOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
    Deprecated.
    All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
    GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
    Deprecated.
    Simple constructor with default settings.
    GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer
    Deprecated.
     
    GaussNewtonOptimizer - Class in org.apache.commons.math3.optimization.general
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
    GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
    Deprecated.
    Simple constructor with default settings.
    GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
    GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer
    Deprecated.
     
    GaussNewtonOptimizer.Decomposition - Enum in org.apache.commons.math3.fitting.leastsquares
    The decomposition algorithm to use to solve the normal equations.
    gcd(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Computes the greatest common divisor of the absolute value of two numbers, using a modified version of the "binary gcd" method.
    gcd(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
    gDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
    Computes a G (Log-Likelihood Ratio) two sample test statistic for independence comparing frequency counts in observed1 and observed2.
    gDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    generate(Collection<Vector2D>) - Method in interface org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHullGenerator2D
    Builds the convex hull from the set of input points.
    generate(Collection<P>) - Method in interface org.apache.commons.math3.geometry.hull.ConvexHullGenerator
    Builds the convex hull from the set of input points.
    GeneticAlgorithm - Class in org.apache.commons.math3.genetics
    Implementation of a genetic algorithm.
    GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math3.genetics.GeneticAlgorithm
    Create a new genetic algorithm.
    GeometricDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the geometric distribution.
    GeometricDistribution(double) - Constructor for class org.apache.commons.math3.distribution.GeometricDistribution
    Create a geometric distribution with the given probability of success.
    GeometricDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.GeometricDistribution
    Creates a geometric distribution.
    GeometricMean - Class in org.apache.commons.math3.stat.descriptive.moment
    Returns the geometric mean of the available values.
    GeometricMean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Create a GeometricMean instance
    GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Copy constructor, creates a new GeometricMean identical to the original
    GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Create a GeometricMean instance using the given SumOfLogs instance
    geometricMean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the geometric mean of the entries in the input array, or Double.NaN if the array is empty.
    geometricMean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the geometric mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    get(int) - Method in class org.apache.commons.math3.util.OpenIntTooubleHashMap
    Get the Sto2ed valua associated wIth the given keq
    get(int)OpenIntTofieldHashMap,/dt:
    Get the suored value assmciated with th% gmven0iey<+div> 8/dd>
    ClassicclRungeKuttáField ntegraôor
    et the internal weights from Butchur árray (without the first empty row).
    getA() - Method in class obg.apache.commons.math3.ode.nonstiff.DormandRrince54FielfIntegrator
    Get the invernal weights from BUtcher array (without the firqt emptx row). getA() - Met`od in alass org.apache.commons.mith3.od%nnonstiff.DormandPrince853VieldIntegrator Get the internql wuiohts fRom Butcher array (withoup the firsp em0ty Row).<-div?
    Š
    getA() - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator
    Get the internal weights from Butcher array (without the first empty row).
    getA() - Method in interface org.apache.commons.math3.ode.nonstiff.FieldButcherArrayProvider
    Get the internal weights from Butcher array (without the first empty row).
    getA() - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator
    Get the internal weights from Butcher array (without the first empty row).
    getA() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
    Get the internal weights from Butcher array (without the first empty row).
    getA() - Method in class org.apache.commons.math3.ode.nonstiff.LudheVFieldInôegrator<a>4/dt>
    Get txe internal weights from Butcher array (wmthout the first emptx row).
    /dd>
    8/span> - Method(in class org.apache.cgmmo.s.math3.ode.nonstiff.Get the internal weights fzom BUtcher array (withgut the first empty$r/w).
    getA() - Method in class org.apache.commojs.math3.ode.nonstiff.TireeEighthesFieldIntegrator
    Get the internal weights from Butcher array (without The first eMpty row).
    <3pan c,ass="cdrong">geta(int, double) - Mathod in clisó opg.apachencommons:m`Th3.util.8a href="./org/apache/commons/math3/util/ContinuedFraction.htil" titìe="class in org.axache.commïns.math3.util">CgntinuedFraction<+a>
    Access the n-tx a coefficient of the continued fraotion.
    getA1() - Method in class oRg.apeche.commons>math3.geometry.euclidecn,threed.RotationOrder
    ¼dif`class="block">Gut the axis of the first rotation.
    getA2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Get the axis of the second rotation.
    getA3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Get the axis of the second rotation.
    getAbcckss!(Vector3D)- Method in class org.apache.commons.math3.geometry.euclidean.tèreed.Line
    Get!the$abscisqa of a point widh respect 4o t`e lé^e.
    getAbsoluteAccuracy() - Methoä in ClasS org.apqche.coímo.s.íath3.analysis.integration.BaseAbstractUnivaryateKntegrator
    * >dt>getAbsoluteAccuracy) - Method qn interfaae grg.aqache.commons.mati3.anaLysi{.integration.UnivariateKntegrator
    Get the absolute accuracy.
    dt>
    BasåAbstractUoivariateSolver
    Get ôhe aâqolute accuracy of ôhe solver.
    getAbsoluteAccõracy() -"Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
    Get the absolute accuracy of the solver.
    getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
    Get the absolute accuracy of the solver.
    getAbsoluteAccuracy() - Method in class org.apache.commons.ma4h3.an@lysis.solvers.FieldBracketingNthOrderBrent3olver
    Get the absoluteaccuracy&
    getAbsoluteAccuracy()-Method in class org.axache.com}ons.math3.dfp.Bra#ketmngNthOrderbrentSolverDFP
    Deprecated.
    Get the absolute accuracy.¼/div>
    getAbwmluteThreshold))/a><span> - Method in class org.apache.commnns.math3.o`tim.AbsvbactIonvergenceClecker&nBsp;
    <{pan chass="spronw">getAbsoluteThreshold() - Method in class org.apache.commons.mati3.optimization.ergefceChecker.html" tit|e="class in org.apache®commons.math3.optimization">AbstractCoNvergenceChecker
    ,span c|ass="strong >Depr%catåd.
    &n"sp;
    getAdj}stedRSquared() -(Method in class org.apaChe.commons.m!th3.stat.regzessin.|a href="./org/apakhe¯cnmmons/matj3.stat/regression/RegresóhonResults.html" title=¢class in org.apache.commons.math3.stat.regression">RegressionResults<'a>
    ZeTurns the adjusted R-squared statistic, defined by the formula
    getAgrestiCoullInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
    Create an Agresti-Coull binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    getAllDerivatives() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get all partial Ddrivatives.
    BetaDistribution
    Access th% first shape paramåter,(.getElpha() - Method in class org.apach%.commons.math3.distribution.GammaEistributhon
    8span class="stzong">Dexrecated.
    ¼i>as of version 3.1, GammaDistribution.getShape() should be preferred. This method will be removed in version 4.0.
    getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the azimuth of the vector.
    getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vqbtkr3D
    |div class="block">Get the aziiuth od the vector, >dt>getAlpha()(- Mdthod in class org.axache*commgns>math3.geometry.spherical.oned.S1PoinT Get tèe azimuthcl angle \( \alpha \). ¼dt>getAfgle()<'a>,/span> - MethOd in ãlass org.apaghe.commons.math3.geometry.euclidean.threed.Get the engle of the rotetion. >/dd> getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Get the angle of the rotation.
    getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Get the angle of the line.
    getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    getAngles(RotationOrder, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Get the Cardan or Euler angles corresponding to the instance.
    getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Deprecated.
    getAngles(RotationOrder, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Get the Cardan or Euler angles corresponding to the instance.
    getArgument() - Method in class org.apache.commons.math3.complex.Complex
    Compute the argument of this complex number.
    getArgument() - Method in exception org.apache.commons.math3.exception.MathIllegalNumberException
     
    getArity() - Method in class org.apache.commons.math3.genetics.TournamentSelection
    Gets the arity (number of chromosomes drawn to the tournament).
    getArrayRef() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Provides direct access to the internal storage array.
    getAttribute() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Get the attribute associated with the instance.
    getAvailableLocales() - Static method in class org.apache.commons.math3.complex.ComplexFormat
    Get the set of locales for which complex formats are available.
    getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
    Get the set of locales for which complex formats are available.
    getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.FractionFormat
    Get the set of locales for which complex formats are available.
    getAvailableLocales() - Static method in class org.apache.commons.math3.geometry.VectorFormat
    Get the set of locales for which point/vector formats are available.
    getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
    Get the set of locales for which real vectors formats are available.
    getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
    Get the set of locales for which real vectors formats are available.
    getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Deprecated.
    getAxis(RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Get the normalized axis of the rotation.
    getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Deprecated.
    as of 3.6, replaced with Rotation.getAxis(RotationConvention)
    getAxis(RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Get the normalized axis of the rotation.
    getB() - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
    Get the external weights for the high order method from Butcher array.
    getB() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
    Get the external weights for the high order method from Butcher array.
    getB() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
    Get the external weights for the high order method from Butcher array.
    getB() - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator
    Get the external weights for the high order method from Butcher array.
    getB() - Method in interface org.apache.commons.math3.ode.nonstiff.FieldButcherArrayProvider
    Get the external weights for the high order method from Butcher array.
    getB() - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator
    Get the external weights for the high order method from Butcher array.
    getB() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
    Get the external weights for the high order method from Butcher array.
    getB() - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator
    Get the external weights for the high order method from Butcher array.
    getB() - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator
    Get the external weights for the high order method from Butcher array.
    getB() - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator
    Get the external weights for the high order method from Butcher array.
    getB(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction
    Access the n-th b coefficient of the continued fraction.
    getBarycenter() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
    Get the barycenter of the interval.
    getBarycenter() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Get the barycenter of the instance.
    getBarycenter() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Get the barycenter of the instance.
    getBarycenter() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
    Get the barycenter of the arc.
    getBeta() - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Access the second shape parameter, beta.
    getBeta() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Deprecated.
    as of version 3.1, GammaDistribution.getScale() should be preferred. This method will be removed in version 4.0.
    getBinCount() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Returns the number of bins.
    getBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Returns a List of SummaryStatistics instances containing statistics describing the values in each of the bins.
    getBoundaryLoops() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
    Get the boundary loops of the polygon.
    getBoundarySize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Get the size of the boundary.
    getBoundarySize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Get the size of the boundary.
    getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException
     
    getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
     
    getBracketingStep() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
    Deprecated.
    Gets the initial step.
    getC() - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator
    Get the time steps from Butcher array (without the first zero).
    getC() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
    Get the time steps from Butcher array (without the first zero).
    getC() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
    Get the time steps from Butcher array (without the first zero).
    getC() - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator
    Get the time steps from Butcher array (without the first zero).
    getC() - Method in interface org.apache.commons.math3.ode.nonstiff.FieldButcherArrayProvider
    Get the time steps from Butcher array (without the first zero).
    getC() - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator
    Get the time steps from Butcher array (without the first zero).
    getC() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
    Get the time steps from Butcher array (without the first zero).
    getC() - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator
    Get the time steps from Butcher array (without the first zero).
    getC() - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator
    Get the time steps from Butcher array (without the first zero).
    getC() - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator
    Get the time steps from Butcher array (without the first zero).
    getCapacity() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Gets the currently allocated size of the internal data structure used for storing elements.
    getCartesian() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
    Get the Cartesian coordinates.
    getCell(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Deprecated.
    as of 3.3, replaced with BSPTree.getCell(Point, double)
    getCell(Point<S>, double) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Get the cell to which a point belongs.
    getCenter() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
    Get the center of the ball.
    getCenter() - Method in class org.apache.commons.math3.ml.clustering.CentroidCluster
    Get the point chosen to be the center of this cluster.
    getCenter() - Method in class org.apache.commons.math3.stat.clustering.Cluster
    Deprecated.
    Get the point chosen to be the center of this cluster.
    getCenters() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
    Returns a copy of the centers array.
    getCheck() - Method in class org.apache.commons.math3.linear.ConjugateGradient
    Returns true if positive-definiteness should be checked for both matrix and preconditioner.
    getCheck() - Method in class org.apache.commons.math3.linear.SymmLQ
    Returns true if symmetry of the matrix, and symmetry as well as positive definiteness of the preconditioner should be checked.
    getChiSquare() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbStráctLeastSquaresOptimizar
    Deprecated,,/span>
    Get a Chy=Square-like valwe assuMing the N rusiduals follow N distincD norma, déstributions centeredon 0 ind whose variences ere the reciprocal of the weights.
    getChiSquare() - Method in class org.apache.commons.math3.o0timjzation.genural.AbstpactLeastSquazesOptimizer
    Deprecated.
    Get ! Chi-Sqeare-lIke value assuming vhe N resIdualw follow(N distinct nor-al distributions centered on 0 and0Ghose variances are !the recipzocal of the weights.
    4a href="./org/apache/commons/math3/genetics.ListPopulation.html#getChromosomeList()">getGhromosomeList(+ - Lethod in class ore.apabht.commons.matH3.genetics.Accecs th% list of chromosomes.
    getChromosomes()% Method in class org.apache.commons.math3.genetics.ListPopulAtion
    4div glass="blocc">Repurns an unmodifaable list ïf the chromosomes in this populatioj.
    getCirale))Edge
    Get the circle supporting this edge.
    getClopperPearsonInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
    Create a Clopper-Pearson binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    Get the cells whosG cut sub-hyperplanes are closg to the point.
    
    MultiKMeansQlusPlusBlusterer
    Retusns phe embedded k-meaNs chusterer used by this instance.
    GetClusterEvaluator()|/a>MultiKMeansPlusPl5sC|usterer
    ,div0class5"block"Returns the ClusterEvaluatkò }sed to0determine the "best" clustering.
    - Method in class org.apach%.commonó.Matj3.ml.clus|ering.FuzzyKMeansSlusterer<¯e><¯Dt>
    4s`an Class="strong">getCoeffhcients() - Method8in class org.aPache.commons.math3.analysis.polynomials.Returns a copy of the coefgicients array.
    PolynomialFunctaonLagrangeFOrm8/dt>
    Returns a copy oæ the coefficients array.
    getCoeff)cients() m Meuhod in class org.cpabhE.commons.maôh3.analysis.polynmaals.PolyîomialFunctionNewtonNorm
    Returns a copy of the ÷oefficients array.
    J
    geTCoefficients()<-span> - Methd if"class org.apacèe>commons.math#.analysis.solvers.Abstract@olynomialSolver
     <+dd>
    =span class="strong">getCoefficients()0- Method in slass org.apache.commons.math1.optim.linear.LinearConstraint
    Gets the coefficieNts of theconstrailt (left hand sIde).
    span class="strong">getcoefficients() - Me|èod in class org,apache.aommons.mith3.optim.linear.LinearObjectiveFunctikn
    <äiv class="bìock">Gets the coefficielts of the linåar equation being opti-ized. <dd>
    g%tCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
    Deprecated.
    Get the coefficients of the constraint (left hand side).
    getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
    Deprecated.
    Get the coefficients of the linear equation being optimized.
    getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Get the entries in column number col as an array.
    getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Get the entries at the given column index as an array.
    getColumn(int) - Method in class org.apache.commons.math3.linear.BloãkFieldMatrix
    
    Cet the e.tries in ãolumn number col>/code? is an array,
    getBnlumnèint- -`MetHod in class org.ápache.commons.math3.lineár.BlockRealMatrix Get the entries at0the givej columnindex as an array.
    getColumn(int) - Method in interface org.apache.commons.mcth3,lilear.FieldMctrix
    Get the entries in co|umn number #oì$as an arzay.
    geuColumn() - Methodin exceptimn org.apache.ckmmons.math³.linear.NonPositireDefiniteMauvixExceptiïn<.a>|/dt>
     
    - Method in exception org.apachm.commons.math3.linear.ÎonSymmetricMatripExCeption|/dt>
    &Nbsp;
    getColumn¸int)<'a> - Method in interface org.apache.ckmmns.mAth3.linear.
    Get the entries at the given column index aS `n array.
    - Method in class org.apache.bommons.matx3.ml.neuralnet.twd.util.a href=./org/axache/commons/math3/ml/neuralnet/twod/util/locationFindår.Location.ltml" title"class in org.apache.commons.math3.ml.nguralnet.twod.util">LocationFinder.Locadion - Method áf cìacs erg.apac(ecommons.math3.linear.AbstractFieDdMatrix
    =div class="block">Peturnó the number of columls in the matriø. <'dd>
    getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the number of columns of this matrix.
    getColumnDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
    Returns the number of columns in the matrix.
    getColumnDimension() - Method in class org.apache.commons.math3.linear.ArRay3DRowFieLdMalrix
    ReTurns thg number of columns in the matrix.
    4span klacs="Strong">getColumnDimenshon()Arras2DRowRealMaTrix
    Returns the oumber of columns of this matrih.
    BlockÆheldMatrix8/dt>
    Returns the number of columns in the matrix.
    getColumnDimension() - MetHod i~ class!org.apache.commns.math3.linear/BlockRealMatrix
    geuCo,umnFimeosion(),/a> - Methkd in clasq org.apache.commons.maTh7®linear.DiagonalMatrix
    Returns the number of coìumns of tx)s matrix. |/dd>
    getC/lumnDimenwion() - ]ethod yn class org.axache.commons.math3.linear.JacobiPreconditioner
    Returns the dimension of the domain of this operator.
    getColumnDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Returns the number of columns of this matrix.
    getColumnDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
    Retuzns the dimension of the domain of this operator.
    >/spqn> -!Method in cliss org.apachm.commons.math3.lmneab.SparseNiel$Matrix
    Returns the number of0c/lum~s in the(matrix.<.div>
    4a href="./org/apashe/com-ons/math³'lineab+ArstractFi%ldMatri|.html#ge4ColumnM!trix(int)&>eetColuínMatrix(int) - Eethod in cl!ss orw.apachg.comions.math3.linear*AbstractFieldMatrix
    Get0the entries$in column number column as a columl oatpix.
    getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Get the entries at the given column index as a column matrix.
    getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Get the entries in column number column as a column matrix.
    getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRaclMatrix
    Get the entr)es$at the given column inddx as a column mitrix.
    getCol5mnMatrix(int) - Method in iJterface rg.qpache.commons.mati3.hinaar.FieldMatrix
    Get the entriås in colUm~ jumber columnŠ es a column matrix.4/div>
    =dt> , Oethoe in intezface org.apache.commons.math3.linear.RmalMatrix
    Get the entries at the given column index as a column matrix.
    getColumnSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    Get the format separator between components.
    getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns the entries in column number column as a vector.
    getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Get the entries at the given column index as a vector.
    getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Returns the entries in column number column as a vector.
    getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Get the entries at the given column index as a vector.
    getColumnVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Returns the entries in column number column as a vector.
    getColumnVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Get the entries at the given column index as a vector.
    getCompiler(int, int) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Get the compiler for number of free parameters and order.
    getComplement(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
    Get the complement of the region (exchanged interior/exterior).
    getCompleteState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Get the complete current state.
    getComponents() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
    Gets the distributions that make up the mixture model.
    getComponents() - Method in Class org.aqache.commons.mcth3.geometry.partitioning.utiliôies.OrderedTuple
    J
    Deprecated*<+div>
    Get the cmmponents array.
    Š
    getConditio~Number() - Method in class rg.apache.commons.math3.lingar®CingulArValueDeco-position
    Return the cmnlition number of the mctrIx, getConvidenceDevel() % Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
     
    getConjugate() - Method in class org.apache.commons.math3.complex.Quaternion
    Returns the conjugate quaternion of the instance.
    getConstantTerm() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
    Gets the constant of the lin%ar equation bemng optimized,
    span class="strong">getConstantTerm() - Method in class org.apache.commons.math3.opvi-azation.line!r. <$iv class="block">Deprecated.
    Get the constant on the linear equation `eing optimized.
    getConstraints() - Method in clas{ org.epache.Comíons.íath3*optim.linear.LinearConstraintSet<¯a>
    4dd> Gets the set of linear constraints.
    getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
     
    getConstraints() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
     
    getContext() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
    Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
    getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
    Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
    getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
    Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
    getContext() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
    Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
    getContext() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
    Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
    getContext() - Method in interface org.apache.commons.math3.exception.util.ExceptionContextProvider
    Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions.
    getContractionCriteria() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    As of 3.1. Please use ResizableDoubleArray.getContractionCriterion() instead.
    getContractionCriterion() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    The contraction criterion defines when the internal array will contract to store only the number of elements in the element array.
    getControlMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
    Returns the control matrix.
    getControlMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
    Returns the control matrix.
    getConvergence() - Method in class org.apache.commons.math3.ode.events.EventState
    Get the convergence threshold for event localization.
    getConvergence() - Method in class org.apache.commons.math3.ode.events.FieldEventState
    Get the convergence threshold for event localization.
    getConvergenceChecker() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
    Gets the convergence checker.
    getConvergenceChecker() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
    Gets the convergence checker.
    getConvergenceChecker() - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Gets the convergence checker.
    getConvergenceChecker() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
    Gets the convergence checker.
    getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
    Deprecated.
    Get the convergence checker.
    getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
    Deprecated.
    Get the convergence checker.
    getConvergenceChecker() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
    Deprecated.
    Get the convergence checker.
    getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
    Get the convergence checker.
    getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Get the convergence checker.
    getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
    Get the convergence checker.
    getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
    Deprecated.
    Get the convergence checker.
    getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation
    Returns the correlation matrix.
    getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Returns the correlation matrix.
    getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
    Calculate the Spearman Rank Correlation Matrix.
    getCorrelationPValues() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.
    getCorrelationStandardErrors() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Returns a matrix of standard errors associated with the estimates in the correlation matrix.
    getCorrelationStandardErrors().getEntry(i,j) is the standard error associated with getCorrelationMatrix.getEntry(i,j)
    getCost() - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
    Get the cost.
    getCost() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
    Get the cost.
    getCostRelativeTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
    Gets the value of a tuning parameter.
    getCount(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the number of values equal to v.
    getCount(int) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the number of values equal to v.
    getCount(long) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the number of values equal to v.
    getCount(char) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the number of values equal to v.
    getCount() - Method in class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Gets the current count.
    getCount() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Gets the current count.
    getCount(int...) - Method in class org.apache.commons.math3.util.MultidimensionalCounter
    Convert to unidimensional counter.
    getCount() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
    Get the current unidimensional counter slot.
    getCount(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
    Get the current count in the selected dimension.
    getCounter() - Method in class org.apache.commons.math3.ode.AbstractIntegratov >ekv class<"blggk">Get0the evaluations counter. 
    gdtCounts(int)¼/a> - Method in class org.apache.commojs.mauh3.util.Multidimensaona,Counter
    dd> getCounps() - Method in class org/apache.commons.ma4j3.util.MultilimensionalCounter.Iterator
    Get the current"oultidio%nsional0counter rlots.
    8/dd>
    =a href="*/org/epachE/kommons/math3/linear/SingularValueDecomposition.html#getCovariance(double)">getCovariance(doubla)¼/span> - Mmthod in class mrg.apache.commons>math3.lin%ar.SingularValueDecomtosition
    J
    Returns the n × n covariance matrix.
    geuCnvariance(i~4, int - Íethod iî class rg.ap!che.commonw.math3.stat.correláuion.StorelessCovariaocå
    Gdt the covariafce for an individual elmment of the covariance matrix¬/div> span clasS="strong">getCovariance()4/a>MultivariateSummaryStatistics
    Returns the covarian#e maôrix of the öalues txat èave been added.<'eiv>
    gEtCovariance(!StatisticalMõltivariateSummary
    ReTurns the ãovariaoce of the `vailable values.
    ¾span class="strong">getCovariance() - Method mn class org.apacha.cgmMïns.math3.stat.descriptive.SynchronizedMulôivariateSummaryStatistics
    Returns the covarianCe matrix of the values that have been added.
    Štdt¾getCovarianceMatrix() - Method io class org.apache.commonr.math3.stat.cozrelauion.Cîvariance¼/a>
    Returns the cnvariance matrix¼/div>
    getCovaricnceMaTrix() - method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
    Returns the covariance matrix
    getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the covariance between regression parameters i and j.
    getCovariances() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
    Gets the covariance matrix.
    getCovariances(double) - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
    Get the covariance matrix of the optimized parameters.
    getCovariances(double) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
    Get the covariance matrix of the optimized parameters.
    getCovariances() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    getCovariances(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    getCrossoverPoints() - Method in class org.apache.commons.math3.genetics.NPointCrossover
    ,a href="./org/apache/commons/math3¯genetics/GeneticAlgoritøm.html#getCros3o6erPolicy()#>gmtCrossoverQolicy() - Method in class org.aðacie.commoos.math3.genetics.GeleticAlworithm
    <$d>
    Returfs the srossovev policy.<div>
    getCrossovezRate() m Method in class org.apaahe.commons.mati3.ge~eticr.GeneticAlgorithm
    Returns the crossover rate.
    getCumFreq(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the cumulative frequency of values less than or equal to v.
    getCumFreq(int) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the cumulative frequency of values less than or equal to v.
    Frequency
    Returns the ctmuletive frequency of values låss tha~ or equal to v. >/dd>
    getCumFreq(char) - Method in class org.ap`cèe.commons*mavh3.stat.Frequmncy
    
    Returns the cumulative freauency of values less than or Equal to!v.
    geTCumPct(Comparqble$lt;7>) - MeThod in`class org.apache*comeonsnmath3.stap.,a hred="./org/apache/co}monc/math3/stat/Frequency.html" title="ãlass in org.apakhe.commons.math3.stat">Frequency
    Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
    getCumPct(int) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
    getCumPct(long) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
    getCumPct(char) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
    getCurrentMainSetJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
    Get the current value of the Jacobian matrix with respect to state.
    getCuzrentParemeterJacobian(Strinc, doub|e[]- m Method in claws org.a`ache*commons.math3.ode.JacobianMatrices
    Get the currenô value of the Jacobian matrix with respect to$one pavameter.
    .dt>getCurrentSifnmdStepsize()?/span. - Mgthod in class org.apeche.commons.math3.ode.AbstraCtFieLdInteorator ,dd>
    Get the current signed value of the integration stepsize.
    8span class="strong">getCurrentSégnadStepsize(),/a: - Methot in class org.apache.coemons.math3.ode.AbstractIntegrator
    Get the current qigned value of the éntegration stepsize.¼/dhv>
    4dt>eetCurren4SignedSteqsize()`- Method in interface org.apache.commonw.madh3.ode.
    G%t the currenq sifnåd0value of Thå intugration stepsize.
    getCurrentSignedStepsije() - Method in intmrface org.ap`chd.com}ons.math3.ode.ODEIntegrator
    Get the cõrreot signed value of(tha integration stupsize. <¯dd>
    gftCurrentSvate() - Method mn clars org.apache.coimons.math3.ode.sampling.AbstzaktFieldSuepIntgrpolador Gmt the ótate at current grid poilt tiee.
    getCurrentState() - Method in interface orfnapachd.commons.math3.odensampling.BieldS|%pMnterpolator|/a>
    Get the state at curre.t$grid!point time.
    - Method in class org.apache.commons.math3.ode.AbstractFieLdInte'rador
    i.
    
    getCurrentStepStart() - Method in class org.apache.cmmmns.math3.ode.AbstractIntagrator
    Get thg current value of the step starô time ti.
    \/dd. 4dt>getCerrentSte0Start() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Get the current value of the step start time ti.
    getCurrentStepStart() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Get the current value of the step start time ti.
    getCurrentStepStart() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Get the current value of the step start time ti.
    getCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Get the current soft grid point time.
    getCurrentTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
    Get the curre~t grid point time.
    BSPTvee
    
    Get the cut sub-hypezplane.
    getD()<'span> - Metèod in clasw org.Apache.commons.math3.linear.EigenDEcompsition<.a>
    Gets the block diagonal matréx D of phe decomp/sit)on.
    getData() - ]ethod in class org.apacHe.commons.math3.linear.AbstractFieldMatrix
    Returns matrix entries as a two-dimensional array.
    getData() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns matrix entries as a two-dimensional array.
    getData() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Returns matrix entries as a two-dimensional array.
    getData() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Returns matrix entries as a two-dimensional array.
    getData() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Returns vector entries as a T array.
    getData() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Returns matrix entries as a two-dimensional array.
    getData() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns matrix entries as a two-dimensional array.
    getData() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Returns matrix entries as a two-dimensional array.
    getData() - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Returns matrix entries as a two-dimensional array.
    getData() - Method in interface org.apache.commons.math3.linear.FieldVector
    Deprecated.
    as of 3.1, to be removed in 4.0. Please use the FieldVector.toArray() method instead.
    getData() - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns matrix entries as a two-dimensional array.
    getData() - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Deprecated.
    as of 3.1, to be removed in 4.0. Please use the SparseFieldVector.toArray() method instead.
    getData() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
    Return the covariance matrix as two-dimensional array.
    getData() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    Get a copy of the stored data array.
    getDataPoints() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
    Returns an unmodifiable list of the data points used in the last call to FuzzyKMeansClusterer.cluster(Collection).
    getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Get a reference to the underlying data array.
    getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Get a reference to the underlying data array.
    getDataRef() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Returns a reference to the underlying data array.
    getDataRef() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Get a reference to the underlying data array.
    getDataRef() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Gets a reference to the underlying data array.
    getDataRef() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    Get a reference to the stored data array.
    getDecimalDigits() - Method in class org.apache.commons.math3.dfp.DfpDec
    Get the number of decimal digits this class is going to represent.
    getDecomposition() - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
    Get the matrix decomposition algorithm used to solve the normal equations.
    getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.AbstractFormat
    Create a default number format.
    getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
    Create a default number format.
    getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.FractionFormat
    Create a default number format.
    getDefaultNumberFormat() - Static method in class org.apache.commons.math3.util.CompositeFormat
    Create a default number format.
    getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.util.CompositeFormat
    Create a default number format.
    getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Access the number of degrees of freedom.
    getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.TDistribution
    Access the degrees of freedom.
    getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the elevation of the vector.
    getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the elevation of the vector.
    getDenominator() - Method in class org.apache.commons.math3.fraction.BigFraction
    Access the denominator as a BigInteger.
    getDenominator() - Method in class org.apache.commons.math3.fraction.Fraction
    Access the denominator.
    getDenominatorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
    Access the denominator as a int.
    getDenominatorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
    Access the denominator as a long.
    getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
    Access the denominator degrees of freedom.
    getDenominatorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
    Access the denominator format.
    getDerivative(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Get the derivative with respect to a particular index variable.
    getDerivative() - Method in class org.apache.commons.math3.ode.FieldODEStateAndDerivative
    Get derivative of the main state at time.
    getDeterminant() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
    Return the determinant of the matrix
    getDeterminant() - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Computes the determinant of the matrix.
    getDeterminant() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
    Return the determinant of the matrix.
    getDeterminant() - Method in class org.apache.commons.math3.linear.LUDecomposition
    Return the determinant of the matrix
    getDiagonalOfHatMatrix(double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    Gets the diagonal of the Hat matrix also known as the leverage matrix.
    getDimension() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
    Get the space dimensionality.
    getDimension() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
    Gets the number of random variables of the distribution.
    getDimension() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
    Gets the number of random variables of the distribution.
    getDimension() - Method in exception org.apache.commons.math3.exception.DimensionMismatchException
     
    getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
    Get the dimension of the space.
    getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
    Get the dimension of the space.
    getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
    Get the dimension of the space.
    getDimension() - Method in interface org.apache.commons.math3.geometry.Space
    Get the dimension of the space.
    getDimension() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
    Get the dimension of the space.
    getDimension() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
    Get the dimension of the space.
    getDimension() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Returns the size of the vector.
    getDimension() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Returns the size of the vector.
    getDimension() - Method in interface org.apache.commons.math3.linear.FieldVector
    Returns the size of the vector.
    getDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Returns the size of the vector.
    getDimension() - Method in class org.apache.commons.math3.linear.RealVector
    Returns the size of the vector.
    getDimension() - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Returns the size of the vector.
    getDimension() - Method in class org.apache.commons.math3.ode.EquationsMapper
    Get the dimension of the secondary state parameters.
    getDimension() - Method in interface org.apache.commons.math3.ode.FieldSecondaryEquations
    Get the dimension of the secondary state parameters.
    getDimension() - Method in class org.apache.commons.math3.ode.FirstOrderConverter
    Get the dimension of the problem.
    getDimension() - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations
    Get the dimension of the problem.
    getDimension() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldDifferentialEquations
    Get the dimension of the problem.
    getDimension() - Method in interface org.apache.commons.math3.ode.SecondaryEquations
    Get the dimension of the secondary state parameters.
    getDimension() - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations
    Get the dimension of the problem.
    getDimension() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Get simplex dimension.
    getDimension() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Get simplex dimension.
    getDimension() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns the dimension of the data
    getDimension() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
    Returns the dimension of the data
    getDimension() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns the dimension of the data
    getDimension() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
    Get the number of dimensions of the multidimensional counter.
    getDirection() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
     
    getDirection() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Get the normalized direction vector.
    getDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Distance between two vectors.
    getDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Optimized method to compute distance.
    getDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Distance between two vectors.
    getDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Distance between two vectors.
    getDistanceMeasure() - Method in class org.apache.commons.math3.ml.clustering.Clusterer
    Returns the DistanceMeasure instance used by this clusterer.
    getE() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant e.
    getEigenvector(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Gets a copy of the ith eigenvector of the original matrix.
    getElement() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
    Deprecated.
    Get the contained element.
    getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the element at the specified index
    getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Returns the element at the specified index
    getElement(int) - Method in interface org.apache.commons.math3.util.DoubleArray
    Returns the element at the specified index.
    getElement(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Returns the element at the specified index
    getElements() - Method in interface org.apache.commons.math3.util.DoubleArray
    Returns a double[] array containing the elements of this DoubleArray.
    getElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Returns a double array containing the elements of this ResizableArray.
    getElitismRate() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
    Access the elitism rate.
    getEmpiricalDistribution() - Method in class org.apache.commons.math3.random.ValueServer
    Returns the EmpiricalDistribution used when operating in 0.
    getEmptyClusterStrategy() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
    Returns the KMeansPlusPlusClusterer.EmptyClusterStrategy used by this instance.
    getEnclosingCap() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
    Get a spherical cap enclosing the polygon.
    getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
    Get the end point of the segment.
    getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
    Get the end point of the segment.
    getEnd() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
    Get end vertex.
    getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns the entry in the specified row and column.
    getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Get the entry in the specified row and column.
    getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Returns the entry in the specified row and column.
    getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Get the entry in the specified row and column.
    getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Returns the entry in the specified index.
    getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Return the entry at the specified index.
    getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Returns the entry in the specified row and column.
    getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Get the entry in the specified row and column.
    getEntry(int, int) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Get the entry in the specified row and column.
    getEntry(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Returns the entry in the specified row and column.
    getEntry(int) - Method in interface org.apache.commons.math3.linear.FieldVector
    Returns the entry in the specified index.
    getEntry(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Get the entry in the specified row and column.
    getEntry(int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Return the entry at the specified index.
    getEntry(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Get the entry in the specified row and column.
    getEntry(int) - Method in class org.apache.commons.math3.linear.RealVector
    Return the entry at the specified index.
    getEntry(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
    Returns the entry in the specified row and column.
    getEntry(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Returns the entry in the specified index.
    getEps() - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
    Returns the maximum radius of the neighborhood to be considered.
    getEps() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
    Deprecated.
    Returns the maximum radius of the neighborhood to be considered.
    getEpsilon() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
    Returns the convergence criteria used by this instance.
    getEquations() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Get the differential equations to integrate.
    getErrorCovariance() - Method in class org.apache.commons.math3.filter.KalmanFilter
    Returns the current error covariance matrix.
    getErrorCovarianceMatrix() - Method in class org.apache.commons.math3.filter.KalmanFilter
    Returns a copy of the current error covariance matrix.
    getErrorSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the sum of squared errors (SSE) associated with the regression model.
    getESplit() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant e split in two pieces.
    getEstimationType() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Get the estimation type used for computation.
    getEvaluationCounter() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
    Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
    getEvaluationCounter() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
    Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
    getEvaluationCounter() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
    Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception.
    getEvaluations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Get the number of function evaluations of the last run of the integrator.
    getEvaluations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
    Get the number of function evaluations of the last run of the integrator.
    getEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Get the number of evaluations of the objective function.
    getEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
    Get the number of evaluations of the objective function.
    getEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
    Get the number of evaluations of the objective function.
    getEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
    Get the number of evaluations of the objective function.
    getEvaluations() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum
    Get the number of times the model was evaluated in order to produce this optimum.
    getEvaluations() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Get the number of evaluations of the differential equations function.
    getEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Get the number of evaluations of the differential equations function.
    getEvaluations() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Get the number of evaluations of the differential equations function.
    getEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Get the number of evaluations of the differential equations function.
    getEvaluations() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
    Gets the number of evaluations of the objective function.
    getEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Gets the number of evaluations of the objective function.
    getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
     
    getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
    Gets the number of evaluations of the objective function.
    getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
    Deprecated.
    Get the number of evaluations of the objective function.
    getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
    Deprecated.
    Get the number of evaluations of the objective function.
    getEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
    Deprecated.
    Get the number of evaluations of the objective function.
    getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
    Get the number of evaluations of the objective function.
    getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Get the number of evaluations of the objective function.
    getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
    Get the number of evaluations of the objective function.
    getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
     
    getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
    Deprecated.
    Get the number of evaluations of the objective function.
    getEvaluationsCounter() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Get the evaluations counter.
    getEvaluationsCounter() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Deprecated.
    as of 3.6 replaced with AbstractIntegrator.getCounter()
    getEventHandler() - Method in class org.apache.commons.math3.ode.events.EventState
    Get the underlying event handler.
    getEventHandler() - Method in class org.apache.commons.math3.ode.events.FieldEventState
    Get the underlying event handler.
    getEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Get all the event handlers that have been added to the integrator.
    getEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Get all the event handlers that have been added to the integrator.
    getEventHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Get all the event handlers that have been added to the integrator.
    getEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Get all the event handlers that have been added to the integrator.
    getEventTime() - Method in class org.apache.commons.math3.ode.events.EventState
    Get the occurrence time of the event triggered in the current step.
    getEventTime() - Method in class org.apache.commons.math3.ode.events.FieldEventState
    Get the occurrence time of the event triggered in the current step.
    getExpandable() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Get the differential equations to integrate.
    getExpansionFactor() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    As of 3.1. Return type will be changed to "double" in 4.0.
    getExpansionMode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    As of 3.1. Return value to be changed to ResizableDoubleArray.ExpansionMode in 4.0.
    getExpectedColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
     
    getExpectedDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
     
    getExpectedDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
     
    getExpectedRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
     
    getExponent() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Return the exponent of the instance value, removing the bias.
    getExponent() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    Get the exponent characterizing the distribution.
    getExponent(double) - Static method in class org.apache.commons.math3.util.FastMath
    Return the exponent of a double number, removing the bias.
    getExponent(float) - Static method in class org.apache.commons.math3.util.FastMath
    Return the exponent of a float number, removing the bias.
    getFeatures() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
    Gets the neuron's features.
    getFeatures(int) - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
    Retrieves the features set from the neuron at location i in the map.
    getFeaturesSize() - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Gets the size of the neurons' features set.
    getFHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException
    Get the value at the higher end of the interval.
    getFHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
    Get function value at BracketFinder.getHi().
    getFHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
    Get function value at BracketFinder.getHi().
    getField() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get the Field to which the instance belongs.
    getField() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Get the Field to which the instance belongs.
    getField() - Method in class org.apache.commons.math3.complex.Complex
    Get the Field to which the instance belongs.
    getField() - Method in class org.apache.commons.math3.dfp.Dfp
    Get the Field (really a DfpField) to which the instance belongs.
    getField() - Method in interface org.apache.commons.math3.FieldElement
    Get the Field to which the instance belongs.
    getField() - Method in class org.apache.commons.math3.fraction.BigFraction
    Get the Field to which the instance belongs.
    getField() - Method in class org.apache.commons.math3.fraction.Fraction
    Get the Field to which the instance belongs.
    getField() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Get the type of field elements of the matrix.
    getField() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Get the type of field elements of the vector.
    getField() - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Get the type of field elements of the matrix.
    getField() - Method in interface org.apache.commons.math3.linear.FieldVector
    Get the type of field elements of the vector.
    getField() - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Get the type of field elements of the vector.
    getField() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Get the field to which state vector elements belong.
    getField() - Method in class org.apache.commons.math3.util.BigReal
    Get the Field to which the instance belongs.
    getField() - Method in class org.apache.commons.math3.util.Decimal64
    Get the Field to which the instance belongs.
    getFinalTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
    Get the final integration time.
    getFinalTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Get the final integration time.
    getFirst() - Method in class org.apache.commons.math3.genetics.ChromosomePair
    Access the first chromosome.
    getFirst() - Method in class org.apache.commons.math3.util.Pair
    Get the first element of the pair.
    getFirstIndex() - Method in class org.apache.commons.math3.ode.EquationsMapper
    Get the index of the first equation element in complete state arrays.
    getFitness() - Method in class org.apache.commons.math3.genetics.Chromosome
    Access the fitness of this chromosome.
    getFittedModel() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
    Gets the fitted model.
    getFittestChromosome() - Method in class org.apache.commons.math3.genetics.ListPopulation
    Access the fittest chromosome in this population.
    getFittestChromosome() - Method in interface org.apache.commons.math3.genetics.Population
    Access the fittest chromosome in this population.
    getFLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException
    Get the value at the lower end of the interval.
    getFLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
    Get function value at BracketFinder.getLo().
    getFLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
    Get function value at BracketFinder.getLo().
    getFMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
    Get function value at BracketFinder.getMid().
    getFMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
    Get function value at BracketFinder.getMid().
    getFormat() - Method in class org.apache.commons.math3.geometry.VectorFormat
    Get the components format.
    getFormat() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    Get the components format.
    getFormat() - Method in class org.apache.commons.math3.linear.RealVectorFormat
    Get the components format.
    getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get the number of free parameters.
    getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Get the number of free parameters.
    getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the Frobenius norm of the matrix.
    getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the Frobenius norm of the matrix.
    getFrobeniusNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the Frobenius norm of the matrix.
    getFunction() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
     
    getFunction() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
     
    getFunctionValueAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Get the function value accuracy of the solver.
    getFunctionValueAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
    Get the function value accuracy of the solver.
    getFunctionValueAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
    Get the function value accuracy of the solver.
    getFunctionValueAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
    Get the function accuracy.
    getFunctionValueAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
    Deprecated.
    Get the function accuracy.
    getFuzziness() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
    Returns the fuzziness factor used by this instance.
    getGenerationsEvolved() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
    Returns the number of generations evolved to reach StoppingCondition in the last run.
    getGenerator() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
    Get the underlying normalized components generator.
    getGeneratorUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Returns a fresh copy of the array of upper bounds of the subintervals of [0,1] used in generating data from the empirical distribution.
    getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns the currently configured geometric mean implementation
    getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the currently configured geometric mean implementation
    getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns the currently configured geometric mean implementation
    getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the currently configured geometric mean implementation
    getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns the geometric mean of all the aggregated data.
    getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the geometric mean of the available values.
    getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getGeometricMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
    Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that correspond to each multivariate sample
    getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the geometric mean of the values that have been added.
    getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the geometric mean of the values that have been added.
    getGeometricMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the currently configured geometric mean implementation.
    getGlobalCurrentState() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
    Get the current global grid point state.
    getGlobalCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Get the current global grid point time.
    getGlobalPreviousState() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
    Get the previous global grid point state.
    getGlobalPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Get the previous global grid point time.
    getGoalType() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
     
    getGoalType() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
     
    getGoalType() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
     
    getGoalType() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
     
    getGoalType() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
     
    getH() - Method in class org.apache.commons.math3.linear.QRDecomposition
    Returns the Householder reflector vectors.
    getHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException
    Get the higher end of the interval.
    getHi() - Method in exception org.apache.commons.math3.exception.OutOfRangeException
     
    getHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
     
    getHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
     
    getHyperplane() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Get the underlying hyperplane.
    getHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
    Get the underlying hyperplane.
    getIdentifier() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
    Gets the neuron's identifier.
    getIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the IEEE 854 status flags.
    getImagEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Gets the imaginary part of the ith eigenvalue of the original matrix.
    getImagEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Gets a copy of the imaginary parts of the eigenvalues of the original matrix.
    getImaginary() - Method in class org.apache.commons.math3.complex.Complex
    Access the imaginary part.
    getImaginary(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
    Get the imaginary part of the k-th n-th root of unity.
    getImaginaryCharacter() - Method in class org.apache.commons.math3.complex.ComplexFormat
    Access the imaginaryCharacter.
    getImaginaryFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
    Access the imaginaryFormat.
    getImproperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
    Returns the default complex format for the current locale.
    getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
    Returns the default complex format for the given locale.
    getImproperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
    Returns the default complex format for the current locale.
    getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
    Returns the default complex format for the given locale.
    getIncoming() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
    Get incoming edge.
    getIndex() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
    Get the index of the wrong value.
    getIndex() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
    Get the index of the entry.
    getIndex() - Method in class org.apache.commons.math3.linear.RealVector.Entry
    Get the index of the entry.
    getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
    Get the lower bound of the interval.
    getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Get the lowest value belonging to the instance.
    getInf() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
    Get the lower angular bound of the arc.
    getInitialErrorCovariance() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
    Returns the initial error covariance matrix.
    getInitialErrorCovariance() - Method in interface org.apache.commons.math3.filter.ProcessModel
    Returns the initial error covariance matrix.
    getInitialGuess() - Method in class org.apache.commons.math3.optim.InitialGuess
    Gets the initial guess.
    getInitialGuess() - Method in class org.apache.commons.math3.optimization.InitialGuess
    Deprecated.
    Gets the initial guess.
    getInitialStateEstimate() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
    Returns the initial state estimation vector.
    getInitialStateEstimate() - Method in interface org.apache.commons.math3.filter.ProcessModel
    Returns the initial state estimation vector.
    getInitialStepBoundFactor() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
    Gets the value of a tuning parameter.
    getInitialTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
    Get the initial integration time.
    getInitialTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Get the initial integration time.
    getInsideArc(Circle) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get the arc of the instance that lies inside the other circle.
    getInstance() - Static method in class org.apache.commons.math3.complex.ComplexField
    Get the unique instance.
    getInstance() - Static method in class org.apache.commons.math3.complex.ComplexFormat
    Returns the default complex format for the current locale.
    getInstance(Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
    Returns the default complex format for the given locale.
    getInstance(String, Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat
    Returns the default complex format for the given locale.
    getInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionField
    Get the unique instance.
    getInstance() - Static method in class org.apache.commons.math3.fraction.FractionField
    Get the unique instance.
    getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
    Get the unique instance.
    getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
    Returns the default 1D vector format for the current locale.
    getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
    Returns the default 1D vector format for the given locale.
    getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
    Get the unique instance.
    getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
    Returns the default 3D vector format for the current locale.
    getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
    Returns the default 3D vector format for the given locale.
    getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
    Get the unique instance.
    getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
    Returns the default 2D vector format for the current locale.
    getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
    Returns the default 2D vector format for the given locale.
    getInstance() - Static method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
    Get the unique instance.
    getInstance() - Static method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
    Get the unique instance.
    getInstance() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
    Returns the default real vector format for the current locale.
    getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealMatrixFormat
    Returns the default real vector format for the given locale.
    getInstance() - Static method in class org.apache.commons.math3.linear.RealVectorFormat
    Returns the default real vector format for the current locale.
    getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealVectorFormat
    Returns the default real vector format for the given locale.
    getInstance(Field<T>, int) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
    Get the Nordsieck transformer for a given field and number of steps.
    getInstance(int) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
    Get the Nordsieck transformer for a given number of steps.
    getInstance() - Static method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
    Get the only instance.
    getInstance() - Static method in class org.apache.commons.math3.util.BigRealField
    Get the unique instance.
    getInstance() - Static method in class org.apache.commons.math3.util.Decimal64Field
    Returns the unique instance of this class.
    getIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the intercept of the estimated regression line, if SimpleRegression.hasIntercept() is true; otherwise 0.
    getInterceptStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the standard error of the intercept estimate, usually denoted s(b0).
    getInternalValues() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    As of 3.1.
    getInterpolatedDerivatives() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Get the derivatives of the state vector of the interpolated point.
    getInterpolatedDerivatives() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Get the derivatives of the state vector of the interpolated point.
    getInterpolatedDerivatives() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
    Get the derivatives of the state vector of the interpolated point.
    getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Get the interpolated secondary derivatives corresponding to the secondary equations.
    getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Get the interpolated secondary derivatives corresponding to the secondary equations.
    getInterpolatedSecondaryDerivatives(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
    Get the interpolated secondary derivatives corresponding to the secondary equations.
    getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Get the interpolated secondary state corresponding to the secondary equations.
    getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Get the interpolated secondary state corresponding to the secondary equations.
    getInterpolatedSecondaryState(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
    Get the interpolated secondary state corresponding to the secondary equations.
    getInterpolatedState(T) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
    Get the state at interpolated time.
    getInterpolatedState() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Get the state vector of the interpolated point.
    getInterpolatedState(T) - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
    Get the state at interpolated time.
    getInterpolatedState() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Get the state vector of the interpolated point.
    getInterpolatedState(T) - Method in interface org.apache.commons.math3.ode.sampling.FieldStepInterpolator
    Get the state at interpolated time.
    getInterpolatedState() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
    Get the state vector of the interpolated point.
    getInterpolatedStateVariation() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
    Get the state vector variation from current to interpolated state.
    getInterpolatedTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Get the time of the interpolated point.
    getInterpolatedTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Get the time of the interpolated point.
    getInterpolatedTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
    Get the time of the interpolated point.
    getInterpolatingPoints() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
    Returns a copy of the interpolating points array.
    getInterpolatingValues() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
    Returns a copy of the interpolating values array.
    getInverse() - Method in class org.apache.commons.math3.complex.Quaternion
    Returns the inverse of this instance.
    getInverse() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
    Get the pseudo-inverse of the decomposed matrix.
    getInverse() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
    Get the inverse (or pseudo-inverse) of the decomposed matrix.
    getInverseConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
    Computes the inverse of the condition number.
    getIterationCounter() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
    Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
    getIterationCounter() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem
    Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
    getIterationCounter() - Method in interface org.apache.commons.math3.optim.OptimizationProblem
    Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception.
    getIterationManager() - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
    Returns the iteration manager attached to this solver.
    getIterations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Get the number of iterations of the last run of the integrator.
    getIterations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
    Get the number of iterations of the last run of the integrator.
    getIterations() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum
    Get the number of times the algorithm iterated in order to produce this optimum.
    getIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Gets the number of iterations performed by the algorithm.
    getIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
    Get the number of iterations realized by the algorithm.
    getIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
    Deprecated.
    Get the number of iterations realized by the algorithm.
    getIterations() - Method in class org.apache.commons.math3.util.IterationEvent
    Returns the number of iterations performed at the time this event is created.
    getIterations() - Method in class org.apache.commons.math3.util.IterationManager
    Returns the number of iterations of this solver, 0 if no iterations has been performed yet.
    getJacobian() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
    Get the weighted Jacobian matrix.
    getJacobianEvaluations() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
     
    getK() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
    Return the number of clusters this instance will use.
    getK() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
    Return the number of clusters this instance will use.
    getK() - Method in class org.apache.commons.math3.util.Combinations
    Gets the number of elements in each combination.
    getKernel(SummaryStatistics) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    The within-bin smoothing kernel.
    getKey() - Method in class org.apache.commons.math3.util.Pair
    Get the key.
    getKeys() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
    Gets all the keys stored in the exception
    getKnots() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
    Get an array copy of the knot points.
    getKthSelector() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Get the kthSelector used for computation.
    getKurtosis() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the Kurtosis of the available values.
    getKurtosisImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the currently configured kurtosis implementation.
    getL() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
    Returns the matrix L of the decomposition.
    getL() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
    Returns the matrix L of the decomposition.
    getL() - Method in class org.apache.commons.math3.linear.LUDecomposition
    Returns the matrix L of the decomposition.
    getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Distance between two vectors.
    getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Distance between two vectors.
    getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Distance between two vectors.
    getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Distance between two vectors.
    getL1Norm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Returns the L1 norm of the vector.
    getL1Norm() - Method in class org.apache.commons.math3.linear.RealVector
    Returns the L1 norm of the vector.
    getLargest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
    Deprecated.
    Get the node whose element is the largest one in the tree.
    getLength() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
    Returns the length of the chromosome.
    getLength() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
    Deprecated.
    as of 3.1, replaced by Interval.getSize()
    getLength() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
    Get the length of the arc.
    getLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
    Get the line containing the segment.
    getLine() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
    Get the line containing the segment.
    getLineSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
    Get the line segments of the convex hull, ordered.
    getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Distance between two vectors.
    getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Distance between two vectors.
    getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Distance between two vectors.
    getLInfNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Returns the L norm of the vector.
    getLInfNorm() - Method in class org.apache.commons.math3.linear.RealVector
    Returns the L norm of the vector.
    getLn10() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant ln(10).
    getLn2() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant ln(2).
    getLn2Split() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant ln(2) split in two pieces.
    getLn5() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant ln(5).
    getLn5Split() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant ln(5) split in two pieces.
    getLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException
    Get the lower end of the interval.
    getLo() - Method in exception org.apache.commons.math3.exception.OutOfRangeException
     
    getLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
     
    getLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
     
    getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
    getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
    getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
    getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
    getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
    getLocalizedMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
    Gets the message in the default locale.
    getLocalizedString(Locale) - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
    Gets the localized string.
    getLocalizedString(Locale) - Method in interface org.apache.commons.math3.exception.util.Localizable
    Gets the localized string.
    getLocalizedString(Locale) - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
    Gets the localized string.
    getLocation() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Access the location parameter, mu.
    getLocation() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Access the location parameter, mu.
    getLocation() - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Get the location parameter of the distribution.
    getLocation() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Access the location parameter, mu.
    getLocation() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Get the hyperplane location on the real line.
    getLocation() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Get the hyperplane location on the circle.
    getLocation() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
    Get Vertex location.
    getLocation(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder
    Retrieves a neuron's grid coordinates.
    getLogLikelihood() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
    Gets the log likelihood of the data under the fitted model.
    getLower() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
    Deprecated.
    as of 3.1, replaced by Interval.getInf()
    getLower() - Method in class org.apache.commons.math3.optim.SimpleBounds
    Gets the lower bounds.
    getLower() - Method in class org.apache.commons.math3.optimization.SimpleBounds
    Deprecated.
    Gets the lower bounds.
    getLowerBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
     
    getLowerBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
     
    getLowerBound() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
     
    getLT() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
    Returns the transpose of the matrix L of the decomposition.
    getMapper() - Method in class org.apache.commons.math3.ode.FieldExpandableODE
    Get the mapper for the set of equations.
    getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Get the 3X3 matrix corresponding to the instance
    getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Get the 3X3 matrix corresponding to the instance
    getMax() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
     
    getMax() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
     
    getMax() - Method in exception org.apache.commons.math3.exception.MaxCountExceededException
     
    getMax() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException
     
    getMax() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
    Gets the upper bound.
    getMax() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
     
    getMax() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
     
    getMax() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns the maximum of the available values
    getMax() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the maximum of the available values
    getMax() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
    Returns an array whose ith entry is the maximum of the ith entries of the arrays that correspond to each multivariate sample
    getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
    Returns the maximum of the available values
    getMax() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
     
    getMax() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the maximum of the values that have been added.
    getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the maximum of the values that have been added.
    getMaxCheckInterval() - Method in class org.apache.commons.math3.ode.events.EventState
    Get the maximal time interval between events handler checks.
    getMaxCheckInterval() - Method in class org.apache.commons.math3.ode.events.FieldEventState
    Get the maximal time interval between events handler checks.
    getMaxEval() - Method in class org.apache.commons.math3.optim.MaxEval
    Gets the maximum number of evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Get the maximum number of function evaluations.
    getMaxEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
    Get the maximum number of function evaluations.
    getMaxEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
    Get the maximum number of function evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
    Get the maximal number of function evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Get the maximal number of functions evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Get the maximal number of functions evaluations.
    getMaxEvaluations() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Get the maximal number of functions evaluations.
    getMaxEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Get the maximal number of functions evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Gets the maximal number of function evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
     
    getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
    Deprecated.
    Get the maximal number of function evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
    Deprecated.
    Get the maximal number of function evaluations.
    getMaxEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer
    Deprecated.
    Get the maximal number of function evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
    Get the maximal number of function evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Get the maximal number of function evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
    Get the maximal number of function evaluations.
    getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
     
    getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
    Deprecated.
    Get the maximal number of function evaluations.
    getMaxGrowth() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Get the maximal growth factor for stepsize control.
    getMaxGrowth() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Get the maximal growth factor for stepsize control.
    getMaxGrowth() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Get the maximal growth factor for stepsize control.
    getMaxGrowth() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
    Get the maximal growth factor for stepsize control.
    getMaximalCount() - Method in class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Gets the upper limit of the counter.
    getMaximalCount() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Gets the upper limit of the counter.
    getMaximalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Get the upper limit for the number of iterations.
    getMaximalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
    Get the upper limit for the number of iterations.
    getMaximalOrder() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
    Get the maximal order.
    getMaximalOrder() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
    Get the maximal order.
    getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the currently configured maximum implementation.
    getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns the currently configured maximum implementation
    getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the currently configured maximum implementation
    getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns the currently configured maximum implementation
    getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the currently configured maximum implementation
    getMaxIndex() - Method in class org.apache.commons.math3.linear.RealVector
    Get the index of the maximum entry.
    getMaxIter() - Method in class org.apache.commons.math3.optim.MaxIter
    Gets the maximum number of evaluations.
    getMaxIterationCount() - Method in class org.apache.commons.math3.ode.events.EventState
    Get the upper limit in the iteration count for event localization.
    getMaxIterationCount() - Method in class org.apache.commons.math3.ode.events.FieldEventState
    Get the upper limit in the iteration count for event localization.
    getMaxIterations() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
    Returns the maximum number of iterations this instance will use.
    getMaxIterations() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
    Returns the maximum number of iterations this instance will use.
    getMaxIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Gets the maximal number of iterations.
    getMaxIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
    Get the maximal number of iterations of the algorithm.
    getMaxIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
    Deprecated.
    Get the maximal number of iterations of the algorithm.
    getMaxIterations() - Method in class org.apache.commons.math3.util.IterationManager
    Returns the maximum number of iterations.
    getMaxStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Get the maximal step.
    getMaxStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Get the maximal step.
    getMaxValue() - Method in class org.apache.commons.math3.linear.RealVector
    Get the value of the maximum entry.
    getMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Access the mean.
    getMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Access the mean.
    getMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    Get the mean for the distribution.
    getMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns the arithmetic mean of the available values
    getMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the arithmetic mean of the available values
    getMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
    Returns an array whose ith entry is the mean of the ith entries of the arrays that correspond to each multivariate sample
    getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
    Returns the arithmetic mean of the available values
    getMean() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
     
    getMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the mean of the values that have been added.
    getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the mean of the values that have been added.
    getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the currently configured mean implementation.
    getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns the currently configured mean implementation
    getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the currently configured mean implementation
    getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns the currently configured mean implementation
    getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the currently configured mean implementation
    getMeans() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
    Gets the mean vector.
    getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
    getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
    getMeasurementDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
    Returns the dimension of the measurement vector.
    getMeasurementMatrix() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
    Returns the measurement matrix.
    getMeasurementMatrix() - Method in interface org.apache.commons.math3.filter.MeasurementModel
    Returns the measurement matrix.
    getMeasurementNoise() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel
    Returns the measurement noise matrix.
    getMeasurementNoise() - Method in interface org.apache.commons.math3.filter.MeasurementModel
    Returns the measurement noise matrix.
    getMedian() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Access the median.
    getMembershipMatrix() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
    Returns the nxk membership matrix, where n is the number of data points and k the number of clusters.
    getMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException
    getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException
    getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException
    getMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException
    getMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException
    getMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
    Gets the default message.
    getMessage(Locale) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
    Gets the message in a specified locale.
    getMessage(Locale, String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
    Gets the message in a specified locale.
    getMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
     
    getMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
     
    getMidPoint() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
    Deprecated.
    as of 3.1, replaced by Interval.getBarycenter()
    getMin() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
     
    getMin() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
     
    getMin() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException
     
    getMin() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
    Gets the lower bound.
    getMin() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
     
    getMin() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
     
    getMin() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns the minimum of the available values
    getMin() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the minimum of the available values
    getMin() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
    Returns an array whose ith entry is the minimum of the ith entries of the arrays that correspond to each multivariate sample
    getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
    Returns the minimum of the available values
    getMin() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
     
    getMin() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the minimum of the values that have been added.
    getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the minimum of the values that have been added.
    getMinimalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Get the min limit for the number of iterations.
    getMinimalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
    Get the min limit for the number of iterations.
    getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the currently configured minimum implementation.
    getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns the currently configured minimum implementation
    getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the currently configured minimum implementation
    getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns the currently configured minimum implementation
    getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the currently configured minimum implementation
    getMinIndex() - Method in class org.apache.commons.math3.linear.RealVector
    Get the index of the minimum entry.
    getMinPts() - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer
    Returns the minimum number of points needed for a cluster.
    getMinPts() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer
    Deprecated.
    Returns the minimum number of points needed for a cluster.
    getMinReduction() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Get the minimal reduction factor for stepsize control.
    getMinReduction() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Get the minimal reduction factor for stepsize control.
    getMinReduction() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Get the minimal reduction factor for stepsize control.
    getMinReduction() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
    Get the minimal reduction factor for stepsize control.
    getMinStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Get the minimal step.
    getMinStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Get the minimal step.
    getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Get the tree on the minus side of the cut hyperplane.
    getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
    Get the part of the sub-hyperplane on the minus side of the splitting hyperplane.
    getMinus() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
    Get the part of the arcs set on the minus side of the splitting arc.
    getMinValue() - Method in class org.apache.commons.math3.linear.RealVector
    Get the value of the minimum entry.
    getMode() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Returns the mode c of this distribution.
    getMode() - Method in class org.apache.commons.math3.random.ValueServer
    Returns the data generation mode.
    getMode() - Method in class org.apache.commons.math3.stat.Frequency
    Returns the mode value(s) in comparator order.
    getModelFunction() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
     
    getModelFunction() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
    Deprecated.
    Gets the model function to be optimized.
    getModelFunctionJacobian() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction
     
    getModelFunctionJacobian() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
    Deprecated.
    Gets the Jacobian of the model function to be optimized.
    getMu() - Method in class org.apache.commons.math3.random.ValueServer
    getMutationPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
    Returns the mutation policy.
    getMutationRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
    Returns the mutation rate.
    getN() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
    Get the number of spline segments.
    getN() - Method in class org.apache.commons.math3.stat.correlation.Covariance
    Returns the number of observations (length of covariate vectors)
    getN() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
    This Covariance method is not supported by a StorelessCovariance, since the number of bivariate observations does not have to be the same for different pairs of covariates - i.e., N as defined in Covariance.getN() is undefined.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns the number of available values
    getN() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the number of available values
    getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
    Get the number of vectors in the sample.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
    Get the number of vectors in the sample.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns the number of available values
    getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
    Returns the number of values that have been added.
    getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
    Returns the number of available values
    getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
    Returns the number of available values
    getN() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
     
    getN() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
    Returns the number of values that have been added.
    getN() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the number of available values
    getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Returns the number of available values
    getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns the number of available values
    getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the number of available values
    getN() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    Gets the number of observations added to the regression model.
    getN() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the number of observations added to the regression model.
    getN() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the number of observations that have been added to the model.
    getN() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
    Returns the number of observations added to the regression model.
    getN() - Method in class org.apache.commons.math3.util.Combinations
    Gets the size of the set from which combinations are drawn.
    getName() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Get the name of the method.
    getName() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Get the name of the method.
    getName() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Get the name of the method.
    getName() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Get the name of the method.
    getName() - Method in exception org.apache.commons.math3.ode.UnknownParameterException
     
    getNaNStrategy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Get the NaN Handling strategy used for computation.
    getNanStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
    Return the NaNStrategy
    getNbPoints() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
    Get the number of points to use.
    getNeighbours(Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Retrieves the neurons in the neighbourhood of any neuron in the neurons list.
    getNeighbours(Iterable<Neuron>, Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Retrieves the neurons in the neighbourhood of any neuron in the neurons list.
    getNeighbours(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Retrieves the neighbours of the given neuron.
    getNeighbours(Neuron, Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Retrieves the neighbours of the given neuron.
    getNetwork() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
    Retrieves the underlying network.
    getNetwork() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
    Retrieves the underlying network.
    getNeuron(long) - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Retrieves the neuron with the given (unique) id.
    getNeuron(int, int) - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
    Retrieves the neuron at location (i, j) in the map.
    getNeuron(int, int, NeuronSquareMesh2D.HorizontalDirection, NeuronSquareMesh2D.VerticalDirection) - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
    Retrieves the neuron at (location[0], location[1]) in the map.
    getNeurons(Comparator<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network
    Creates a list of the neurons, sorted in a custom order.
    getNewtonCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
    Returns a copy of coefficients in Newton form formula.
    getNext() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
    Deprecated.
    Get the node containing the next larger or equal element.
    getNext() - Method in class org.apache.commons.math3.random.ValueServer
    Returns the next generated value, generated according to the mode value (see MODE constants).
    getNextIndex() - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
    Returns the index i of the next point in the Halton sequence that will be returned by calling HaltonSequenceGenerator.nextVector().
    getNextIndex() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
    Returns the index i of the next point in the Sobol sequence that will be returned by calling SobolSequenceGenerator.nextVector().
    getNextValue() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Generates a random value from this distribution.
    getNorm() - Method in class org.apache.commons.math3.complex.Quaternion
    Computes the norm of the quaternion.
    getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get the L2 norm for the vector.
    getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the L2 norm for the vector.
    getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the L2 norm for the vector.
    getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get the L2 norm for the vector.
    getNorm() - Method in interface org.apache.commons.math3.geometry.Vector
    Get the L2 norm for the vector.
    getNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the maximum absolute row sum norm of the matrix.
    getNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Returns the L2 norm of the vector.
    getNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the maximum absolute row sum norm of the matrix.
    getNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the maximum absolute row sum norm of the matrix.
    getNorm() - Method in class org.apache.commons.math3.linear.RealVector
    Returns the L2 norm of the vector.
    getNorm() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
    Returns the L2 norm of the matrix.
    getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get the L1 norm for the vector.
    getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the L1 norm for the vector.
    getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the L1 norm for the vector.
    getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get the L1 norm for the vector.
    getNorm1() - Method in interface org.apache.commons.math3.geometry.Vector
    Get the L1 norm for the vector.
    getNormal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get the normalized normal vector.
    getNormalApproximationInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
    Create a binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level using the Normal approximation to the binomial distribution.
    getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get the L norm for the vector.
    getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the L norm for the vector.
    getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the L norm for the vector.
    getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get the L norm for the vector.
    getNormInf() - Method in interface org.apache.commons.math3.geometry.Vector
    Get the L norm for the vector.
    getNormOfResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
    Returns the norm of the residual.
    getNormOfResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
    Returns the norm of the residual.
    getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get the square of the norm for the vector.
    getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the square of the norm for the vector.
    getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the square of the norm for the vector.
    getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get the square of the norm for the vector.
    getNormSq() - Method in interface org.apache.commons.math3.geometry.Vector
    Get the square of the norm for the vector.
    getNotLarger(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
    Deprecated.
    Get the node whose element is not larger than the reference object.
    getNotSmaller(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
    Deprecated.
    Get the node whose element is not smaller than the reference object.
    getNSteps() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Get the number of steps of the multistep method (excluding the one being computed).
    getNSteps() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Get the number of steps of the multistep method (excluding the one being computed).
    getNSteps() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
    Deprecated.
    as of 3.6, this method is not used anymore
    getNumberOfAttemptedUpdates() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
    Retrieves the number of calls to the compareAndSetFeatures method.
    getNumberOfCalls() - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
    Retrieves the number of calls to the update method.
    getNumberOfColumns() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
    Gets the number of neurons in each column of this map.
    getNumberOfElements() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    Get the number of elements (e.g.
    getNumberOfEquations() - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
    Get the number of equations mapped.
    getNumberOfParameters() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the number of parameters estimated in the model.
    getNumberOfPoints() - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
     
    getNumberOfRoots() - Method in class org.apache.commons.math3.complex.RootsOfUnity
    Returns the number of roots of unity currently stored.
    getNumberOfRows() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
    Gets the number of neurons in each row of this map.
    getNumberOfSecondaryStates() - Method in class org.apache.commons.math3.ode.FieldODEState
    Get the number of secondary states.
    getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    Access the number of successes.
    getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.PascalDistribution
    Access the number of successes for this distribution.
    getNumberOfSuccessfulUpdates() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
    Retrieves the number of successful calls to the compareAndSetFeatures method.
    getNumberOfTrials() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
    Access the number of trials for this distribution.
    getNumElements() - Method in interface org.apache.commons.math3.util.DoubleArray
    Returns the number of elements currently in the array.
    getNumElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Returns the number of elements currently in the array.
    getNumerator() - Method in class org.apache.commons.math3.fraction.BigFraction
    Access the numerator as a BigInteger.
    getNumerator() - Method in class org.apache.commons.math3.fraction.Fraction
    Access the numerator.
    getNumeratorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction
    Access the numerator as a int.
    getNumeratorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction
    Access the numerator as a long.
    getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution
    Access the numerator degrees of freedom.
    getNumeratorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat
    Access the numerator format.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.FDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.PascalDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.TDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalMean() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Use this method to get the numerical value of the mean of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PascalDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumericalVariance() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Use this method to get the numerical value of the variance of this distribution.
    getNumGenerations() - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
    Returns the number of generations that have already passed.
    getNumTrials() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
    Returns the number of trials this instance will do.
    getnVals() - Method in class org.apache.commons.math3.special.BesselJ.BesselJResult
     
    getObjectiveFunction() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
    Gets the function to be optimized.
    getObjectiveFunction() - Method in class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
    Gets the function to be optimized.
    getObjectiveFunction() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Gets the objective vector function.
    getObjectiveFunctionGradient() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
    Gets the gradient of the function to be optimized.
    getObjectiveFunctionValue() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
    Get the value of the objective function.
    getObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter
    Deprecated.
    Get the observed points.
    getObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter
    Deprecated.
    Get the observed points.
    getObservationSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
    Get the number of observations (rows in the Jacobian) in this problem.
    getObservationSize() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
    Get the number of observations (rows in the Jacobian) in this problem.
    getOffset(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Get the offset (oriented distance) of a vector.
    getOffset(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Get the offset (oriented distance) of a point.
    getOffset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get the offset (oriented distance) of a parallel plane.
    getOffset(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get the offset (oriented distance) of a vector.
    getOffset(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get the offset (oriented distance) of a point.
    getOffset(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Get the offset (oriented distance) of a parallel line.
    getOffset(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Get the offset (oriented distance) of a vector.
    getOffset(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Get the offset (oriented distance) of a point.
    getOffset() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
    Offset of the point with respect to the boundary it is projected on.
    getOffset(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
    Get the offset (oriented distance) of a point.
    getOffset(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Get the offset (oriented distance) of a point.
    getOffset(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get the offset (oriented distance) of a point.
    getOffset(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get the offset (oriented distance) of a direction.
    getOmegaInverse() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
    Get the inverse of the covariance.
    getOne() - Method in class org.apache.commons.math3.complex.ComplexField
    Get the multiplicative identity of the field.
    getOne() - Method in class org.apache.commons.math3.dfp.Dfp
    Get the constant 1.
    getOne() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant 1.
    getOne() - Method in interface org.apache.commons.math3.Field
    Get the multiplicative identity of the field.
    getOne() - Method in class org.apache.commons.math3.fraction.BigFractionField
    Get the multiplicative identity of the field.
    getOne() - Method in class org.apache.commons.math3.fraction.FractionField
    Get the multiplicative identity of the field.
    getOne() - Method in class org.apache.commons.math3.util.BigRealField
    Get the multiplicative identity of the field.
    getOne() - Method in class org.apache.commons.math3.util.Decimal64Field
    Get the multiplicative identity of the field.
    getOptima() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
    Gets all the optima found during the last call to optimize.
    getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
    Gets all the optima found during the last call to optimize.
    getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
    Deprecated.
    Gets all the optima found during the last call to optimize.
    getOptima() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
    Gets all the optima found during the last call to optimize.
    getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
    Deprecated.
    Get all the optima found during the last call to optimize.
    getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
    Deprecated.
    Get all the optima found during the last call to optimize.
    getOptima() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
    Deprecated.
    Get all the optima found during the last call to optimize.
    getOptimizer() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
    Creates an optimizer set up to fit the appropriate curve.
    getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get the derivation order.
    getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Get the derivation order.
    getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator
    Get the order of the method.
    getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator
    Get the order of the method.
    getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator
    Get the order of the method.
    getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator
    Get the order of the method.
    getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Get the order of the method.
    getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
    Get the order of the method.
    getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
    Get the order of the method.
    getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
    Get the order of the method.
    getOrderOfRegressors() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    Gets the order of the regressors, useful if some type of reordering has been called.
    getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Get the line point closest to the origin.
    getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get the origin point of the plane frame.
    getOriginal() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
    Get the original point.
    getOriginOffset() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Get the offset of the origin.
    getOrthoTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
    Gets the value of a tuning parameter.
    getOutgoing() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex
    Get outgoing edge.
    getOutline(PolyhedronsSet) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
    Extract the outline of a polyhedrons set.
    getP() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
    Returns the P rows permutation matrix.
    getP() - Method in class org.apache.commons.math3.linear.LUDecomposition
    Returns the P rows permutation matrix.
    getP() - Method in class org.apache.commons.math3.linear.RRQRDecomposition
    Returns the pivot matrix, P, used in the QR Decomposition of matrix A such that AP = QR.
    getParameter(String) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
    Get parameter value from its name.
    getParameterEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the parameter estimate for the regressor at the given index.
    getParameterEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns a copy of the regression parameters estimates.
    getParameterRelativeTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
    Gets the value of a tuning parameter.
    getParameterSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
    Get the number of parameters (columns in the Jacobian) in this problem.
    getParameterSize() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
    Get the number of parameters (columns in the Jacobian) in this problem.
    getParametersNames() - Method in class org.apache.commons.math3.ode.AbstractParameterizable
    Get the names of the supported parameters.
    getParametersNames() - Method in interface org.apache.commons.math3.ode.Parameterizable
    Get the names of the supported parameters.
    getParent() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Get the parent node.
    getPartialCorrelations(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    In the original algorithm only the partial correlations of the regressors is returned to the user.
    getPartialDerivative(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get a partial derivative.
    getPartialDerivativeIndex(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Get the index of a partial derivative in the array.
    getPartialDerivativeOrders(int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Get the derivation orders for a specific index in the array.
    getPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
    getPct(int) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
    getPct(long) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
    getPct(char) - Method in class org.apache.commons.math3.stat.Frequency
    Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
    getPercentile(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns an estimate for the pth percentile of the stored values.
    getPercentileImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the currently configured percentile implementation.
    getPercentileValue() - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
    Returns Percentile value computed thus far.
    getPhase(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get the phase angle of a direction.
    getPhi() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
    Get the polar (co-latitude) angle.
    getPhi() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    Get the polar angle \( \varphi \).
    getPi() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant π.
    getPiSplit() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant π split in two pieces.
    getPivot() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
    Returns the pivot permutation vector.
    getPivot() - Method in class org.apache.commons.math3.linear.LUDecomposition
    Returns the pivot permutation vector.
    getPivotingStrategy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Get the PivotingStrategyInterface used in KthSelector for computation.
    getPivotingStrategy() - Method in class org.apache.commons.math3.util.KthSelector
    Get the pivotin strategy.
    getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Get the tree on the plus side of the cut hyperplane.
    getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
    Get the part of the sub-hyperplane on the plus side of the splitting hyperplane.
    getPlus() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
    Get the part of the arcs set on the plus side of the splitting arc.
    getPlusInside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
    Get the part of the node cut sub-hyperplane that belongs to the boundary and has the inside of the region on the plus side of its underlying hyperplane.
    getPlusOutside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
    Get the part of the node cut sub-hyperplane that belongs to the boundary and has the outside of the region on the plus side of its underlying hyperplane.
    getPmf() - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
    Return the probability mass function as a list of pairs.
    getPoint(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
    Gets the integration point at the given index.
    getPoint() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
    Get the abscissa (independent variables) of this evaluation.
    getPoint() - Method in interface org.apache.commons.math3.ml.clustering.Clusterable
    Gets the n-dimensional point.
    getPoint() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
    Gets the n-dimensional point.
    getPoint(int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Get the simplex point stored at the requested index.
    getPoint() - Method in class org.apache.commons.math3.optim.PointValuePair
    Gets the point.
    getPoint() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
    Gets the point.
    getPoint() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
    Get the point.
    getPoint(int) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Get the simplex point stored at the requested index.
    getPoint() - Method in class org.apache.commons.math3.optimization.PointValuePair
    Deprecated.
    Gets the point.
    getPoint() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
    Deprecated.
    Gets the point.
    getPoint() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
    Deprecated.
    Get the point.
    getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
    Deprecated.
    Get the n-dimensional point in integer space.
    getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
    Deprecated.
    Get the n-dimensional point in integer space.
    getPointAt(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get one point from the 3D-space.
    getPointAt(Vector1D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Get one point from the plane.
    getPointAt(double) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get a circle point from its phase around the circle.
    getPointAt(double) - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
    Get an intermediate point.
    getPointRef() - Method in class org.apache.commons.math3.optim.PointValuePair
    Gets a reference to the point.
    getPointRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
    Gets a reference to the point.
    getPointRef() - Method in class org.apache.commons.math3.optimization.PointValuePair
    Deprecated.
    Gets a reference to the point.
    getPointRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
    Deprecated.
    Gets a reference to the point.
    getPoints() - Method in class org.apache.commons.math3.ml.clustering.Cluster
    Get the points contained in the cluster.
    getPoints() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Get the points of the simplex.
    getPoints() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Get the points of the simplex.
    getPoints() - Method in class org.apache.commons.math3.stat.clustering.Cluster
    Deprecated.
    Get the points contained in the cluster.
    getPole() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get the pole of the circle.
    getPolynomials() - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
    Compute the interpolation polynomials.
    getPolynomials() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
    Get a copy of the interpolating polynomials array.
    getPopulationLimit() - Method in class org.apache.commons.math3.genetics.ListPopulation
    Access the maximum population size.
    getPopulationLimit() - Method in interface org.apache.commons.math3.genetics.Population
    Access the maximum population size.
    getPopulationSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    Access the population size.
    getPopulationSize() - Method in class org.apache.commons.math3.genetics.ListPopulation
    Access the current population size.
    getPopulationSize() - Method in interface org.apache.commons.math3.genetics.Population
    Access the current population size.
    getPopulationSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize
     
    getPopulationSize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize
    Deprecated.
     
    getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the population variance of the available values.
    getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the population variance of the values that have been added.
    getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the population variance of the values that have been added.
    getPositivePolarForm() - Method in class org.apache.commons.math3.complex.Quaternion
    Returns the polar form of the quaternion.
    getPrefix() - Method in class org.apache.commons.math3.geometry.VectorFormat
    Get the format prefix.
    getPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    Get the format prefix.
    getPrefix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
    Get the format prefix.
    getPrevious() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
     
    getPrevious() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node
    Deprecated.
    Get the node containing the next smaller or equal element.
    getPreviousState() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
    Get the state at previous grid point time.
    getPreviousState() - Method in interface org.apache.commons.math3.ode.sampling.FieldStepInterpolator
    Get the state at previous grid point time.
    getPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Get the previous soft grid point time.
    getPreviousTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
    Get the previous grid point time.
    getPrimary() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Get the primary set of differential equations.
    getPrimaryMapper() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Get an equations mapper for the primary equations set.
    getPrimaryState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Get primary part of the current state.
    getPrimaryStateDot() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Get primary part of the current state derivative.
    getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
    Access the probability of success for this distribution.
    getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
    Access the probability of success for this distribution.
    getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.PascalDistribution
    Access the probability of success for this distribution.
    getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter
    Creates a least squares problem corresponding to the appropriate curve.
    getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
    Creates a least squares problem corresponding to the appropriate curve.
    getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
    Creates a least squares problem corresponding to the appropriate curve.
    getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
    Creates a least squares problem corresponding to the appropriate curve.
    getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.SimpleCurveFitter
    Creates a least squares problem corresponding to the appropriate curve.
    getProcessNoise() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
    Returns the process noise matrix.
    getProcessNoise() - Method in interface org.apache.commons.math3.filter.ProcessModel
    Returns the process noise matrix.
    getProjected() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection
    Projected point.
    getProperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
    Returns the default complex format for the current locale.
    getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat
    Returns the default complex format for the given locale.
    getProperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat
    Returns the default complex format for the current locale.
    getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat
    Returns the default complex format for the given locale.
    getQ() - Method in class org.apache.commons.math3.linear.QRDecomposition
    Returns the matrix Q of the decomposition.
    getQ0() - Method in class org.apache.commons.math3.complex.Quaternion
    Gets the first component of the quaternion (scalar part).
    getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Get the scalar coordinate of the quaternion.
    getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Get the scalar coordinate of the quaternion.
    getQ1() - Method in class org.apache.commons.math3.complex.Quaternion
    Gets the second component of the quaternion (first component of the vector part).
    getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Get the first coordinate of the vectorial part of the quaternion.
    getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Get the first coordinate of the vectorial part of the quaternion.
    getQ2() - Method in class org.apache.commons.math3.complex.Quaternion
    Gets the third component of the quaternion (second component of the vector part).
    getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Get the second coordinate of the vectorial part of the quaternion.
    getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Get the second coordinate of the vectorial part of the quaternion.
    getQ3() - Method in class org.apache.commons.math3.complex.Quaternion
    Gets the fourth component of the quaternion (third component of the vector part).
    getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Get the third coordinate of the vectorial part of the quaternion.
    getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Get the third coordinate of the vectorial part of the quaternion.
    getQT() - Method in class org.apache.commons.math3.linear.QRDecomposition
    Returns the transpose of the matrix Q of the decomposition.
    getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the quadratic mean, a.k.a.
    getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the quadratic mean, a.k.a.
    getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Returns the quadratic mean, a.k.a.
    getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the quadratic mean, a.k.a.
    getQuantile() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
    getR() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
    Get the radius.
    getR() - Method in class org.apache.commons.math3.linear.QRDecomposition
    Returns the matrix R of the decomposition.
    getR() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    getRadius() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
    Get the radius of the ball.
    getRadixDigits() - Method in class org.apache.commons.math3.dfp.Dfp
    Get the number of radix digits of the instance.
    getRadixDigits() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the number of radix digits of the Dfp instances built by this factory.
    getRandomGenerator() - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
    Returns the (static) random generator.
    getRandomGenerator() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer
    Returns the random generator this instance will use.
    getRandomGenerator() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
    Returns the random generator this instance will use.
    getRandomGenerator() - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Returns the RandomGenerator used to generate non-secure random data.
    getRank() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
    Get the rank of the symmetric positive semidefinite matrix.
    getRank(double) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
    Return the effective numerical matrix rank.
    getRank() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
    Return the effective numerical matrix rank.
    getRank() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
    Get the rank of the covariance matrix.
    getRankCorrelation() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
    Returns a PearsonsCorrelation instance constructed from the ranked input data.
    getRankingThreshold() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
    Gets the value of a tuning parameter.
    getRatio() - Method in class org.apache.commons.math3.genetics.UniformCrossover
    Returns the mixing ratio used by this CrossoverPolicy.
    getReal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get the real value of the number.
    getReal() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Get the real value of the number.
    getReal() - Method in class org.apache.commons.math3.complex.Complex
    Access the real part.
    getReal(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity
    Get the real part of the k-th n-th root of unity.
    getReal() - Method in class org.apache.commons.math3.dfp.Dfp
    Get the real value of the number.
    getReal() - Method in interface org.apache.commons.math3.RealFieldElement
    Get the real value of the number.
    getReal() - Method in class org.apache.commons.math3.util.Decimal64
    Get the real value of the number.
    getRealEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Returns the real part of the ith eigenvalue of the original matrix.
    getRealEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Gets a copy of the real parts of the eigenvalues of the original matrix.
    getRealFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat
    Access the realFormat.
    getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.BigFraction
    Creates a BigFraction instance with the 2 parts of a fraction Y/Z.
    getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.Fraction
    Creates a Fraction instance with the 2 parts of a fraction Y/Z.
    getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
    getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
    getRelationship() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
    Gets the relationship between left and right hand sides.
    getRelationship() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
    Deprecated.
    Get the relationship between left and right hand sides.
    getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Get the relative accuracy.
    getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
    Get the relative accuracy.
    getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Get the relative accuracy of the solver.
    getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
    Get the relative accuracy of the solver.
    getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
    Get the relative accuracy of the solver.
    getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
    Get the relative accuracy.
    getRelativeAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
    Deprecated.
    Get the relative accuracy.
    getRelativeThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker
     
    getRelativeThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker
    Deprecated.
     
    getRemainingRegion() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Get the remaining region of the hyperplane.
    getRepresentation() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
    Returns the (immutable) inner representation of the chromosome.
    getResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
    Returns the residual.
    getResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
    Returns the residual.
    getResiduals() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
    Get the weighted residuals.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
    Returns the value of the statistic based on the values that have been added.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
    Get the covariance matrix.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
    Get the mean vector.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
    Returns the current value of the Statistic.
    getResult() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
    Returns the current value of the Statistic.
    getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
    Returns the current value of the Statistic.
    getReverse() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Get the reverse of the instance.
    getReverse() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Get the reverse of the instance.
    getReverse() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get the reverse of the instance.
    getRightHandSideVector() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
    Returns the current right-hand side of the linear system to be solved.
    getRightHandSideVector() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
    Returns the current right-hand side of the linear system to be solved.
    getRMS() - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
    Get the normalized cost.
    getRMS() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
    Get the normalized cost.
    getRMS() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
    Deprecated.
    Gets the root-mean-square (RMS) value.
    getRMS() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    Get the Root Mean Square value.
    getRootMatrix() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
    Get the root of the covariance matrix.
    getRootMatrix() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
    Get the root of the covariance matrix.
    getRoundingMode() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the current rounding mode.
    getRoundingMode() - Method in class org.apache.commons.math3.util.BigReal
    Gets the rounding mode for division operations The default is RoundingMode.HALF_UP
    getRow(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Get the entries in row number row as an array.
    getRow(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Get the entries at the given row index.
    getRow(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Get the entries in row number row as an array.
    getRow(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Get the entries at the given row index.
    getRow(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Get the entries in row number row as an array.
    getRow() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
     
    getRow() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
     
    getRow(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Get the entries at the given row index.
    getRow() - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder.Location
     
    getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns the number of rows in the matrix.
    getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the number of rows of this matrix.
    getRowDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix
    Returns the number of rows in the matrix.
    getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Returns the number of rows in the matrix.
    getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Returns the number of rows of this matrix.
    getRowDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Returns the number of rows in the matrix.
    getRowDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the number of rows of this matrix.
    getRowDimension() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Returns the number of rows of this matrix.
    getRowDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
    Returns the dimension of the codomain of this operator.
    getRowDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Returns the number of rows of this matrix.
    getRowDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator
    Returns the dimension of the codomain of this operator.
    getRowDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
    Returns the number of rows in the matrix.
    getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Get the entries in row number row as a row matrix.
    getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Get the entries at the given row index as a row matrix.
    getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Get the entries in row number row as a row matrix.
    getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Get the entries at the given row index as a row matrix.
    getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Get the entries in row number row as a row matrix.
    getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Get the entries at the given row index as a row matrix.
    getRowPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    Get the format prefix.
    getRowSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    Get the format separator between rows of the matrix.
    getRowSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    Get the format suffix.
    getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Get the entries in row number row as a vector.
    getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the entries in row number row as a vector.
    getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Get the entries in row number row as a vector.
    getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the entries in row number row as a vector.
    getRowVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Get the entries in row number row as a vector.
    getRowVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the entries in row number row as a vector.
    getRSquare() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the coefficient of determination, usually denoted r-square.
    getRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the coefficient of multiple determination, usually denoted r-square.
    getRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
    Gets a copy of the quadrature rule with the given number of integration points.
    getRuleInternal(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory
    Gets a rule.
    getRuntimeClass() - Method in class org.apache.commons.math3.complex.ComplexField
    Returns the runtime class of the FieldElement.
    getRuntimeClass() - Method in class org.apache.commons.math3.dfp.DfpField
    Returns the runtime class of the FieldElement.
    getRuntimeClass() - Method in interface org.apache.commons.math3.Field
    Returns the runtime class of the FieldElement.
    getRuntimeClass() - Method in class org.apache.commons.math3.fraction.BigFractionField
    Returns the runtime class of the FieldElement.
    getRuntimeClass() - Method in class org.apache.commons.math3.fraction.FractionField
    Returns the runtime class of the FieldElement.
    getRuntimeClass() - Method in class org.apache.commons.math3.util.BigRealField
    Returns the runtime class of the FieldElement.
    getRuntimeClass() - Method in class org.apache.commons.math3.util.Decimal64Field
    Returns the runtime class of the FieldElement.
    getS() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
    Returns the diagonal matrix Σ of the decomposition.
    getSafety() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Get the safety factor for stepsize control.
    getSafety() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Get the safety factor for stepsize control.
    getSafety() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Get the safety factor for stepsize control.
    getSafety() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
    Get the safety factor for stepsize control.
    getSampleSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    Access the sample size.
    getSampleStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Returns a StatisticalSummary describing this distribution.
    getScalarPart() - Method in class org.apache.commons.math3.complex.Quaternion
    Gets the scalar part of the quaternion.
    getScale() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Access the scale parameter.
    getScale() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Returns the scale parameter of this distribution.
    getScale() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Access the scale parameter, beta.
    getScale() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Access the scale parameter, beta.
    getScale() - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Get the scale parameter of the distribution.
    getScale() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Access the scale parameter, s.
    getScale() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Returns the scale parameter of this distribution.
    getScale() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Access the scale parameter, omega.
    getScale() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Returns the scale parameter of this distribution.
    getScale() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Access the scale parameter, beta.
    getScale() - Method in class org.apache.commons.math3.util.BigReal
    Sets the scale for division operations.
    getSecond() - Method in class org.apache.commons.math3.genetics.ChromosomePair
    Access the second chromosome.
    getSecond() - Method in class org.apache.commons.math3.util.Pair
    Get the second element of the pair.
    getSecondaryDerivative(int) - Method in class org.apache.commons.math3.ode.FieldODEStateAndDerivative
    Get derivative of the secondary state at time.
    getSecondaryMappers() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Get the equations mappers for the secondary equations sets.
    getSecondaryState(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Get secondary part of the current state.
    getSecondaryState(int) - Method in class org.apache.commons.math3.ode.FieldODEState
    Get secondary state at time.
    getSecondaryStateDimension(int) - Method in class org.apache.commons.math3.ode.FieldODEState
    Get secondary state dimension.
    getSecondaryStateDot(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Get secondary part of the current state derivative.
    getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns a statistic related to the Second Central Moment.
    getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns a statistic related to the Second Central Moment.
    getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
    Get the endpoints of the sub-line.
    getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
    Get the endpoints of the sub-line.
    getSelectionPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
    Returns the selection policy.
    getSeparator() - Method in class org.apache.commons.math3.geometry.VectorFormat
    Get the format separator between components.
    getSeparator() - Method in class org.apache.commons.math3.linear.RealVectorFormat
    Get the format separator between components.
    getShape() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Returns the shape parameter of this distribution.
    getShape() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Returns the shape parameter of this distribution.
    getShape() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Access the shape parameter, mu.
    getShape() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Returns the shape parameter of this distribution.
    getShape() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Access the shape parameter, alpha.
    getSide() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
    Get the side of the split sub-hyperplane with respect to its splitter.
    getSide() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split
    Get the side of the split arc with respect to its splitter.
    getSigma(double) - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation
    Get an estimate of the standard deviation of the parameters.
    getSigma(double) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
    Get an estimate of the standard deviation of the parameters.
    getSigma() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma
     
    getSigma() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma
    Deprecated.
     
    getSigma() - Method in class org.apache.commons.math3.random.ValueServer
    Returns the standard deviation used when operating in ValueServer.GAUSSIAN_MODE.
    getSignificance() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the significance level of the slope (equiv) correlation.
    getSingularValues() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
    Returns the diagonal elements of the matrix Σ of the decomposition.
    getSize() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Get the array size required for holding partial derivatives data.
    getSize() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
    Get the size of the sphere.
    getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
    Get the size of the interval.
    getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
    Get the size of the instance.
    getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Get the size of the instance.
    getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Get the size of the instance.
    getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Get the size of the instance.
    getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
    Get the size of the instance.
    getSize() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
    Get the angular size of the arc.
    getSize() - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
    Get the size of the instance.
    getSize() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron
    Gets the length of the feature set.
    getSize() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
    Gets the number of neurons.
    getSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Get simplex size.
    getSize() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Get simplex size.
    getSize() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
    Get the total number of elements.
    getSizes() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
    Get the number of multidimensional counter slots in each dimension.
    getSkewness() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the skewness of the available values.
    getSkewnessImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the currently configured skewness implementation.
    getSlope() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the slope of the estimated regression line.
    getSlopeConfidenceInterval() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the half-width of a 95% confidence interval for the slope estimate.
    getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.
    getSlopeStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the standard error of the slope estimate, usually denoted s(b1).
    getSmallest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
    Deprecated.
    Get the node whose element is the smallest one in the tree.
    getSolution() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
    Returns the current estimate of the solution to the linear system to be solved.
    getSolution() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
    Returns the current estimate of the solution to the linear system to be solved.
    getSolution() - Method in class org.apache.commons.math3.optim.linear.SolutionCallback
    Retrieve the best solution found so far.
    getSolver() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition
    Get a solver for finding the A × X = B solution in least square sense.
    getSolver() - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Gets a solver for finding the A × X = B solution in exact linear sense.
    getSolver() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
    Get a solver for finding the A × X = B solution in exact linear sense.
    getSolver() - Method in class org.apache.commons.math3.linear.LUDecomposition
    Get a solver for finding the A × X = B solution in exact linear sense.
    getSolver() - Method in class org.apache.commons.math3.linear.QRDecomposition
    Get a solver for finding the A × X = B solution in least square sense.
    getSolver() - Method in class org.apache.commons.math3.linear.RRQRDecomposition
    Get a solver for finding the A × X = B solution in least square sense.
    getSolver() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
    Get a solver for finding the A × X = B solution in least square sense.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.FDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Returns the solver absolute accuracy for inverse cumulative computation.
    getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities.
    getSortedValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the current set of values in an array of double primitives, sorted in ascending order.
    getSourceString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
    Gets the source (non-localized) string.
    getSourceString() - Method in interface org.apache.commons.math3.exception.util.Localizable
    Gets the source (non-localized) string.
    getSourceString() - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats
    Gets the source (non-localized) string.
    getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get the space to which the point belongs.
    getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the space to which the point belongs.
    getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get the space to which the point belongs.
    getSpace() - Method in interface org.apache.commons.math3.geometry.Point
    Get the space to which the point belongs.
    getSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
    Get the space to which the point belongs.
    getSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    Get the space to which the point belongs.
    getSparsity() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
     
    getSplitters() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute
    Get the sub-hyperplanes that were used to split the boundary part.
    getSqr2() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant √2.
    getSqr2Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant √2 / 2.
    getSqr2Split() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant √2 split in two pieces.
    getSqr3() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant √3.
    getSqr3Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant √3 / 3.
    getSquareRoot() - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Computes the square-root of the matrix.
    getStandardDeviation() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Access the standard deviation.
    getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns the standard deviation of the available values.
    getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the standard deviation of the available values.
    getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
    Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that correspond to each multivariate sample
    getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
    Returns the standard deviation of the available values.
    getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
     
    getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the standard deviation of the values that have been added.
    getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Returns the standard deviation of the available values.
    getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the standard deviation of the values that have been added.
    getStandardDeviations() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
    Gets the square root of each element on the diagonal of the covariance matrix.
    getStart() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
    Gets the initial guess.
    getStart() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem
    Gets the initial guess.
    getStart() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment
    Get the start point of the segment.
    getStart() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment
    Get the start point of the segment.
    getStart() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge
    Get start vertex.
    getStarterIntegrator() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Get the starter integrator.
    getStarterIntegrator() - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Get the starter integrator.
    getStartIndex() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Returns the "start index" of the internal array.
    getStartPoint() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
    Gets the initial guess.
    getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
     
    getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Gets the initial values of the optimized parameters.
    getStartValue() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
     
    getStartValue() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval
    Gets the start value.
    getStartValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
     
    getStartValue() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
     
    getState() - Method in class org.apache.commons.math3.ode.FieldODEState
    Get main state at time.
    getStateDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter
    Returns the dimension of the state estimation vector.
    getStateDimension() - Method in class org.apache.commons.math3.ode.FieldODEState
    Get main state dimension.
    getStateEstimation() - Method in class org.apache.commons.math3.filter.KalmanFilter
    Returns the current state estimation vector.
    getStateEstimationVector() - Method in class org.apache.commons.math3.filter.KalmanFilter
    Returns a copy of the current state estimation vector.
    getStateTransitionMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel
    Returns the state transition matrix.
    getStateTransitionMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel
    Returns the state transition matrix.
    getStatisticsDHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
     
    getStatisticsDHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
     
    getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
     
    getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
     
    getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
     
    getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
     
    getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
     
    getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
     
    getStdErrorOfEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the standard error of the parameter estimate at index, usually denoted s(bindex).
    getStdErrorOfEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the standard error of the parameter estimates, usually denoted s(bi).
    getStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Get all the step handlers that have been added to the integrator.
    getStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Get all the step handlers that have been added to the integrator.
    getStepHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Get all the step handlers that have been added to the integrator.
    getStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Get all the step handlers that have been added to the integrator.
    getStepSize() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator
    Get the step size.
    getStepSize() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Get the current step size.
    getStepStart() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Getcurrent step start.
    getStrict() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException
     
    getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Get a submatrix.
    getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Get a submatrix.
    getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Gets a submatrix.
    getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Gets a submatrix.
    getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Get a submatrix.
    getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Gets a submatrix.
    getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Get a submatrix.
    getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Get a submatrix.
    getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Gets a submatrix.
    getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Gets a submatrix.
    getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D
    Get the n-1 dimension subspace of this space.
    getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D
    Get the n-1 dimension subspace of this space.
    getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D
    Get the n-1 dimension subspace of this space.
    getSubSpace() - Method in interface org.apache.commons.math3.geometry.Space
    Get the n-1 dimension subspace of this space.
    getSubSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D
    Get the n-1 dimension subspace of this space.
    getSubSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D
    Get the n-1 dimension subspace of this space.
    getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Get a subvector from consecutive elements.
    getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Get a subvector from consecutive elements.
    getSubVector(int, int) - Method in interface org.apache.commons.math3.linear.FieldVector
    Get a subvector from consecutive elements.
    getSubVector(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Get a subvector from consecutive elements.
    getSubVector(int, int) - Method in class org.apache.commons.math3.linear.RealVector
    Get a subvector from consecutive elements.
    getSubVector(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Get a subvector from consecutive elements.
    getSuffix() - Method in class org.apache.commons.math3.geometry.VectorFormat
    Get the format suffix.
    getSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    Get the format suffix.
    getSuffix() - Method in class org.apache.commons.math3.linear.RealVectorFormat
    Get the format suffix.
    getSum() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns the sum of the values that have been added to Univariate.
    getSum() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the sum of the values that have been added to Univariate.
    getSum() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
    Returns an array whose ith entry is the sum of the ith entries of the arrays that correspond to each multivariate sample
    getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
    Returns the sum of the values that have been added to Univariate.
    getSum() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
     
    getSum() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the sum of the values that have been added
    getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the sum of the values that have been added
    getSumFreq() - Method in class org.apache.commons.math3.stat.Frequency
    Returns the sum of all frequencies.
    getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the currently configured sum implementation.
    getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns the currently configured Sum implementation
    getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the currently configured Sum implementation
    getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns the currently configured Sum implementation
    getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the currently configured Sum implementation
    getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getSumLog() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
    Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that correspond to each multivariate sample
    getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Returns the currently configured sum of logs implementation
    getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns the currently configured sum of logs implementation
    getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the currently configured sum of logs implementation
    getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns the currently configured sum of logs implementation
    getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the currently configured sum of logs implementation
    getSummary() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Return a StatisticalSummaryValues instance reporting current aggregate statistics.
    getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Return a StatisticalSummaryValues instance reporting current statistics.
    getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Return a StatisticalSummaryValues instance reporting current statistics.
    getSumOfCrossProducts() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the sum of crossproducts, xi*yi.
    getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns the sum of the logs of all the aggregated data.
    getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the sum of the logs of the values that have been added.
    getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns the sum of the squares of all the aggregated data.
    getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the sum of the squares of the available values.
    getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getSumSq() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary
    Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that correspond to each multivariate sample
    getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the sum of the squares of the values that have been added.
    getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
    getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the sum of the squares of the values that have been added.
    getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the currently configured sum of squares implementation.
    getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns the currently configured sum of squares implementation
    getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the currently configured sum of squares implementation
    getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns the currently configured sum of squares implementation
    getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the currently configured sum of squares implementation
    getSumSquaredErrors() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the sum of squared errors (SSE) associated with the regression model.
    getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
    Get the upper bound of the interval.
    getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Get the highest value belonging to the instance.
    getSup() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
    Get the upper angular bound of the arc.
    getSupport() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
    Get the support points used to define the ball.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.FDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    Access the lower bound of the support.
    getSupportLowerBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Access the lower bound of the support.
    getSupportSize() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall
    Get the number of support points used to define the ball.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.FDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    Access the upper bound of the support.
    getSupportUpperBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Access the upper bound of the support.
    getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
    Deprecated.
    Gets the observed values to be matched by the objective vector function.
    getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Target
    Deprecated.
    Gets the initial guess.
    getTarget() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Gets the observed values to be matched by the objective vector function.
    getTarget() - Method in class org.apache.commons.math3.optimization.Target
    Deprecated.
    Gets the initial guess.
    getTargetRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    As of 3.1.
    getTargetSize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
    Deprecated.
    Gets the number of observed values.
    getTheta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
    Get the azimuthal angle in x-y plane.
    getTheta() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    Get the azimuthal angle \( \theta \) in the x-y plane.
    getThreshold() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
     
    getThreshold() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException
     
    getThrowable() - Method in class org.apache.commons.math3.exception.util.ExceptionContext
    Get a reference to the exception to which the context relates.
    getTiesStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
    Return the TiesStrategy
    getTime() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Get current time.
    getTime() - Method in class org.apache.commons.math3.ode.FieldODEState
    Get time.
    getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Get the tolerance below which points are considered to belong to the hyperplane.
    getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Get the tolerance below which points are considered identical.
    getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get the tolerance below which points are considered to belong to the hyperplane.
    getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Get the tolerance below which points are considered to belong to the hyperplane.
    getTolerance() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Get the tolerance below which points are considered to belong to hyperplanes.
    getTolerance() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
    Get the tolerance below which points are considered to belong to the hyperplane.
    getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc
    Get the tolerance below which angles are considered identical.
    getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Get the tolerance below which points are considered to belong to the hyperplane.
    getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get the tolerance below which points are considered to belong to the hyperplane.
    getTotalDimension() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Return the dimension of the complete set of equations.
    getTotalDimension() - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
    Return the dimension of the complete set of equations.
    getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns the sum of squared deviations of the y values about their mean.
    getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the sum of squared deviations of the y values about their mean.
    getTrace() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns the trace of the matrix (the sum of the elements on the main diagonal).
    getTrace() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the trace of the matrix (the sum of the elements on the main diagonal).
    getTrace() - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Returns the trace of the matrix (the sum of the elements on the main diagonal).
    getTrace() - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the trace of the matrix (the sum of the elements on the main diagonal).
    getTransform(AffineTransform) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    getTransform(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Get a Transform embedding an affine transform.
    getTransform(Rotation) - Static method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get a Transform embedding a 3D rotation.
    getTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
    Returns the Transformer that is mapped to a class if mapping is not present, this returns null.
    getTree(boolean) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Get the underlying BSP tree.
    getTree(boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Get the underlying BSP tree.
    getTriggeredIncreasing() - Method in enum org.apache.commons.math3.ode.events.FilterType
    Get the increasing status of triggered events.
    getTwo() - Method in class org.apache.commons.math3.dfp.Dfp
    Get the constant 2.
    getTwo() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant 2.
    getU() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get the plane first canonical vector.
    getU() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition
    Returns the matrix U of the decomposition.
    getU() - Method in class org.apache.commons.math3.linear.LUDecomposition
    Returns the matrix U of the decomposition.
    getU() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
    Returns the matrix U of the decomposition.
    getUniqueCount() - Method in class org.apache.commons.math3.stat.Frequency
    Returns the number of values in the frequency table.
    getUpper() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval
    Deprecated.
    as of 3.1, replaced by Interval.getSup()
    getUpper() - Method in class org.apache.commons.math3.optim.SimpleBounds
    Gets the upper bounds.
    getUpper() - Method in class org.apache.commons.math3.optimization.SimpleBounds
    Deprecated.
    Gets the lower bounds.
    getUpperBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
     
    getUpperBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
     
    getUpperBound() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
     
    getUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Returns a fresh copy of the array of upper bounds for the bins.
    getUT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
    Returns the transpose of the matrix U of the decomposition.
    getV() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get the plane second canonical vector.
    getV() - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Gets the matrix V of the decomposition.
    getV() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
    Returns the matrix V of the decomposition.
    getVals() - Method in class org.apache.commons.math3.special.BesselJ.BesselJResult
     
    getValue() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get the value part of the derivative structure.
    getValue() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Get the value of the function.
    getValue(String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
    Gets the value associated to the given context key.
    getValue() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
    Get the value of the entry.
    getValue() - Method in class org.apache.commons.math3.linear.RealVector.Entry
    Get the value of the entry.
    getValue() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
    Gets the value of the constraint (right hand side).
    getValue() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
    Gets the value of the objective function.
    getValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
    Get the value of the objective function.
    getValue() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
    Deprecated.
    Get the value of the constraint (right hand side).
    getValue(double[]) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
    Deprecated.
    Compute the value of the linear equation at the current point
    getValue(RealVector) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
    Deprecated.
    Compute the value of the linear equation at the current point
    getValue() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
    Deprecated.
    Gets the value of the objective function.
    getValue() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
    Deprecated.
    Get the value of the objective function.
    getValue() - Method in class org.apache.commons.math3.util.Pair
    Get the value.
    getValueRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair
    Gets a reference to the value of the objective function.
    getValueRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair
    Deprecated.
    Gets a reference to the value of the objective function.
    getValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the current set of values in an array of double primitives.
    getValues() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Returns the current set of values in an array of double primitives.
    getValuesFileURL() - Method in class org.apache.commons.math3.random.ValueServer
    Returns the URL for the file used to build the empirical distribution when using ValueServer.DIGEST_MODE.
    getVariance() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics
    Returns the variance of the available values.
    getVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the (sample) variance of the available values.
    getVariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary
    Returns the variance of the available values.
    getVariance() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
     
    getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the (sample) variance of the available values.
    getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the (sample) variance of the available values.
    getVarianceDirection() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Returns the varianceDirection property.
    getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the currently configured variance implementation.
    getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns the currently configured variance implementation
    getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns the currently configured variance implementation
    getVector() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
    Get the corresponding normalized vector in the 2D euclidean space.
    getVector() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    Get the corresponding normalized vector in the 3D euclidean space.
    getVectorPart() - Method in class org.apache.commons.math3.complex.Quaternion
    Gets the three components of the vector part of the quaternion.
    getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D
    Get the vertices of the convex hull.
    getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Get the vertices of the polygon.
    getVertices() - Method in interface org.apache.commons.math3.geometry.hull.ConvexHull
    Get the vertices of the convex hull.
    getVT() - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Gets the transpose of the matrix V of the decomposition.
    getVT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition
    Returns the transpose of the matrix V of the decomposition.
    getWeight(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
    Gets the weight of the integration point at the given index.
    getWeight() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
    Gets the weight of the measurement in the fitting process.
    getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
    Deprecated.
    Gets the weight matrix of the observations.
    getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Weight
    Deprecated.
    Gets the initial guess.
    getWeight() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Gets the weight matrix of the observations.
    getWeight() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
    Deprecated.
    Get the weight of the measurement in the fitting process.
    getWeight() - Method in class org.apache.commons.math3.optimization.Weight
    Deprecated.
    Gets the initial guess.
    getWeightRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    As of 3.1.
    getWeightSquareRoot() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
    Deprecated.
    Gets the square-root of the weight matrix.
    getWeightSquareRoot() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    Gets the square-root of the weight matrix.
    getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
    Access the whole format.
    getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
    Access the whole format.
    getWilsonScoreInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils
    Create a Wilson score binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
    getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
    getWorkArray(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Get the work array to operate.
    getWrongColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
     
    getWrongDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
     
    getWrongDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException
     
    getWrongRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
     
    getX() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
    Gets the abscissa of the point.
    getX() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get the abscissa of the vector.
    getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the abscissa of the vector.
    getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the abscissa of the vector.
    getX() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get the abscissa of the vector.
    getX() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
    Deprecated.
    Get the abscissa of the point.
    getX() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
     
    getXAxis() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get the X axis of the circle.
    getXSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the sum of squared deviations of the x values about their mean.
    getY() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint
    Gets the observed value of the function at x.
    getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the ordinate of the vector.
    getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the ordinate of the vector.
    getY() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get the ordinate of the vector.
    getY() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
    Deprecated.
    Get the observed value of the function at x.
    getY() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
     
    getYAxis() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Get the Y axis of the circle.
    getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the height of the vector.
    getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the height of the vector.
    getZero() - Method in class org.apache.commons.math3.complex.ComplexField
    Get the additive identity of the field.
    getZero() - Method in class org.apache.commons.math3.dfp.Dfp
    Get the constant 0.
    getZero() - Method in class org.apache.commons.math3.dfp.DfpField
    Get the constant 0.
    getZero() - Method in interface org.apache.commons.math3.Field
    Get the additive identity of the field.
    getZero() - Method in class org.apache.commons.math3.fraction.BigFractionField
    Get the additive identity of the field.
    getZero() - Method in class org.apache.commons.math3.fraction.FractionField
    Get the additive identity of the field.
    getZero() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get the null vector of the vectorial space or origin point of the affine space.
    getZero() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the null vector of the vectorial space or origin point of the affine space.
    getZero() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get the null vector of the vectorial space or origin point of the affine space.
    getZero() - Method in interface org.apache.commons.math3.geometry.Vector
    Get the null vector of the vectorial space or origin point of the affine space.
    getZero() - Method in class org.apache.commons.math3.util.BigRealField
    Get the additive identity of the field.
    getZero() - Method in class org.apache.commons.math3.util.Decimal64Field
    Get the additive identity of the field.
    GillFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
    GillFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator
    Simple constructor.
    GillIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
    GillIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillIntegrator
    Simple constructor.
    GLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
    The GLS implementation of multiple linear regression.
    GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
     
    GoalType - Enum in org.apache.commons.math3.optim.nonlinear.scalar
    Goal type for an optimization problem (minimization or maximization of a scalar function.
    GoalType - Enum in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    gradient() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
    Deprecated.
    Returns the gradient function.
    gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
    Computes the value of the gradient at x.
    gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
    Computes the value of the gradient at x.
    gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
    Computes the value of the gradient at x.
    gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
    Computes the value of the gradient at x.
    gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
    Computes the value of the gradient at x.
    gradient(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
    Compute the gradient of the function with respect to its parameters.
    gradient(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
    Compute the gradient of the function with respect to its parameters.
    GradientFunction - Class in org.apache.commons.math3.analysis.differentiation
    Class representing the gradient of a multivariate function.
    GradientFunction(MultivariateDifferentiableFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.GradientFunction
    Simple constructor.
    GradientMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
    Base class for implementing optimizers for multivariate scalar differentiable functions.
    GradientMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
     
    GraggBulirschStoerIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations.
    GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
    Simple constructor.
    GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
    Simple constructor.
    greaterThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Check if instance is greater than x.
    GTest - Class in org.apache.commons.math3.stat.inference
    Implements G Test statistics.
    GTest() - Constructor for class org.apache.commons.math3.stat.inference.GTest
     
    gTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
    Returns the observed significance level, or p-value, associated with a G-Test for goodness of fit comparing the observed frequency counts to those in the expected array.
    gTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
    Performs a G-Test (Log-Likelihood Ratio Test) for goodness of fit evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
    gTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    gTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    gTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
    Returns the observed significance level, or p-value, associated with a G-Value (Log-Likelihood Ratio) for two sample test comparing bin frequency counts in observed1 and observed2.
    gTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest
    Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned data sets.
    gTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    gTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    gTestIntrinsic(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest
    Returns the intrinsic (Hardy-Weinberg proportions) p-Value, as described in p64-69 of McDonald, J.H.
    gTestIntrinsic(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    guess() - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser
    Gets an estimation of the parameters.
    guess() - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser
    Deprecated.
    Gets an estimation of the parameters.
    guess() - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
    Gets an estimation of the parameters.
    guess() - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
    Deprecated.
    Gets an estimation of the parameters.
    guess() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser
    Deprecated.
    Gets an estimation of the parameters.
    guess() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
    Deprecated.
    Gets an estimation of the parameters.
    guessParametersErrors() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    as of version 3.1, AbstractLeastSquaresOptimizer.computeSigma(double[],double) should be used instead. It should be emphasized that guessParametersErrors and computeSigma are not strictly equivalent.
    GumbelDistribution - Class in org.apache.commons.math3.distribution
    This class implements the Gumbel distribution.
    GumbelDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.GumbelDistribution
    Build a new instance.
    GumbelDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.GumbelDistribution
    Build a new instance.

    H

    h - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    current time step
    HaltonSequenceGenerator - Class in org.apache.commons.math3.random
    Implementation of a Halton sequence.
    HaltonSequenceGenerator(int) - Constructor for class org.apache.commons.math3.random.HaltonSequenceGenerator
    Construct a new Halton sequence generator for the given space dimension.
    HaltonSequenceGenerator(int, int[], int[]) - Constructor for class org.apache.commons.math3.random.HaltonSequenceGenerator
    Construct a new Halton sequence generator with the given base numbers and weights for each dimension.
    handleStep(FieldStepInterpolator<T>, boolean) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
    Handle the last accepted step.
    handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Handle the last accepted step.
    handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
    Handle the last accepted step.
    handleStep(FieldODEStateAndDerivative<T>, boolean) - Method in interface org.apache.commons.math3.ode.sampling.FieldFixedStepHandler
    Handle the last accepted step
    handleStep(FieldStepInterpolator<T>, boolean) - Method in interface org.apache.commons.math3.ode.sampling.FieldStepHandler
    Handle the last accepted step
    handleStep(FieldStepInterpolator<T>, boolean) - Method in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
    Handle the last accepted step
    handleStep(double, double[], double[], boolean) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
    Handle the last accepted step
    handleStep(StepInterpolator, boolean) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
    Handle the last accepted step
    handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
    Handle the last accepted step
    HarmonicCurveFitter - Class in org.apache.commons.math3.fitting
    Fits points to a harmonic oscillator function.
    HarmonicCurveFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
    This class guesses harmonic coefficients from a sample.
    HarmonicCurveFitter.ParameterGuesser(Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser
    Simple constructor.
    HarmonicFitter - Class in org.apache.commons.math3.fitting
    Deprecated.
    As of 3.3. Please use HarmonicCurveFitter and WeightedObservedPoints instead.
    HarmonicFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter
    Deprecated.
    Simple constructor.
    HarmonicFitter - Class in org.apache.commons.math3.optimization.fitting
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    HarmonicFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter
    Deprecated.
    Simple constructor.
    HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting
    Deprecated.
    This class guesses harmonic coefficients from a sample.
    HarmonicFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser
    Deprecated.
    Simple constructor.
    HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting
    Deprecated.
    This class guesses harmonic coefficients from a sample.
    HarmonicFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser
    Deprecated.
    Simple constructor.
    HarmonicOscillator - Class in org.apache.commons.math3.analysis.function
    HarmonicOscillator(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator
    Harmonic oscillator function.
    HarmonicOscillator.Parametric - Class in org.apache.commons.math3.analysis.function
    Parametric function where the input array contains the parameters of the harmonic oscillator function, ordered as follows: Amplitude Angular frequency Phase
    HarmonicOscillator.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
     
    hasComplexEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition
    Returns whether the calculated eigen values are complex or real.
    hash(double) - Static method in class org.apache.commons.math3.util.MathUtils
    Returns an integer hash code representing the given double value.
    hash(double[]) - Static method in class org.apache.commons.math3.util.MathUtils
    Returns an integer hash code representing the given double array.
    hashCode() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get a hashCode for the derivative structure.
    hashCode() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Get a hashCode for the derivative structure.
    hashCode() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    hashCode() - Method in class org.apache.commons.math3.complex.Complex
    Get a hashCode for the complex number.
    hashCode() - Method in class org.apache.commons.math3.complex.Quaternion
    hashCode() - Method in class org.apache.commons.math3.dfp.Dfp
    Gets a hashCode for the instance.
    hashCode() - Method in class org.apache.commons.math3.fraction.BigFraction
    Gets a hashCode for the fraction.
    hashCode() - Method in class org.apache.commons.math3.fraction.Fraction
    Gets a hashCode for the fraction.
    hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get a hashCode for the 1D vector.
    hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get a hashCode for the 3D vector.
    hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get a hashCode for the 3D vector.
    hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get a hashCode for the 2D vector.
    hashCode() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
    Deprecated.
    hashCode() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
    Get a hashCode for the 2D vector.
    hashCode() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    Get a hashCode for the 2D vector.
    hashCode() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Computes a hashcode for the matrix.
    hashCode() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Computes a hashcode for the matrix.
    hashCode() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Get a hashCode for the real vector.
    hashCode() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    .
    hashCode() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    .
    hashCode() - Method in class org.apache.commons.math3.linear.RealVector
    .
    hashCode() - Method in class org.apache.commons.math3.linear.SparseFieldVector
    hashCode() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
    hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint
    hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
    hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint
    Deprecated.
    hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
    Deprecated.
    hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
    Deprecated.
    hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
    Deprecated.
    hashCode() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
    Returns hash code based on getResult() and getN()
    hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
    hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
    hashCode() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Returns hash code based on values of statistics
    hashCode() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
    Returns hash code based on getResult() and getN()
    hashCode() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
    Returns hash code based on values of statistics
    hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Returns hash code based on values of statistics
    hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Returns hash code based on values of statistics
    hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Returns hash code based on values of statistics
    hashCode() - Method in class org.apache.commons.math3.stat.Frequency
    hashCode() - Method in class org.apache.commons.math3.util.BigReal
    hashCode() - Method in class org.apache.commons.math3.util.Decimal64
    The current implementation returns the same value as new Double(this.doubleValue()).hashCode()
    hashCode() - Method in class org.apache.commons.math3.util.DefaultTransformer
    hashCode() - Method in class org.apache.commons.math3.util.Pair
    Compute a hash code.
    hashCode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Returns a hash code consistent with equals.
    hashCode() - Method in class org.apache.commons.math3.util.TransformerMap
    hasIntercept() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    A getter method which determines whether a constant is included.
    hasIntercept() - Method in class org.apache.commons.math3.stat.regression.RegressionResults
    Returns true if the regression model has been computed including an intercept.
    hasIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns true if the model includes an intercept term.
    hasIntercept() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
    Returns true if a constant has been included false otherwise.
    hasNext() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
    hasNext() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
    hasNext() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    hasNext() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
    hasNext() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
    Check if there is a next element in the map.
    hasNext() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
    Check if there is a next element in the map.
    height(int) - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
    Returns the marker height (or percentile) of a given marker index.
    hermite(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
    Creates a Gauss-Hermite integrator of the given order.
    HermiteInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Polynomial interpolator using both sample values and sample derivatives.
    HermiteInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
    Create an empty interpolator.
    HermiteRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
    Factory that creates a Gauss-type quadrature rule using Hermite polynomials of the first kind.
    HermiteRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory
     
    HighamHall54FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
    HighamHall54FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
    Simple constructor.
    HighamHall54FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator
    Simple constructor.
    HighamHall54Integrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
    HighamHall54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
    Simple constructor.
    HighamHall54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator
    Simple constructor.
    HitHistogram - Class in org.apache.commons.math3.ml.neuralnet.twod.util
    Computes the hit histogram.
    HitHistogram(boolean, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.HitHistogram
     
    homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    homoscedasticT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.
    homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.
    homoscedasticT(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes t test statistic for 2-sample t-test under the hypothesis of equal subpopulation variances.
    homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
    Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.
    homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal.
    homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
    Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
    homoscedasticTTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes p-value for 2-sided, 2-sample t-test, under the assumption of equal subpopulation variances.
    HypergeometricDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the hypergeometric distribution.
    HypergeometricDistribution(int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution
    Construct a new hypergeometric distribution with the specified population size, number of successes in the population, and sample size.
    HypergeometricDistribution(RandomGenerator, int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution
    Creates a new hypergeometric distribution.
    Hyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
    This interface represents an hyperplane of a space.
    hypot(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Returns the hypotenuse of a triangle with sides this and y - sqrt(this2 +y2) avoiding intermediate overflow or underflow.
    hypot(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Returns the hypotenuse of a triangle with sides x and y - sqrt(x2 +y2) avoiding intermediate overflow or underflow.
    hypot(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Returns the hypotenuse of a triangle with sides this and y - sqrt(this2 +y2) avoiding intermediate overflow or underflow.
    hypot(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Returns the hypotenuse of a triangle with sides x and y - sqrt(x2 +y2) avoiding intermediate overflow or underflow.
    hypot(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Returns the hypotenuse of a triangle with sides this and y - sqrt(this2 +y2) avoiding intermediate overflow or underflow.
    hypot(T) - Method in interface org.apache.commons.math3.RealFieldElement
    Returns the hypotenuse of a triangle with sides this and y - sqrt(this2 +y2) avoiding intermediate overflow or underflow.
    hypot(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Returns the hypotenuse of a triangle with sides this and y - sqrt(this2 +y2) avoiding intermediate overflow or underflow.
    hypot(double, double) - Static method in class org.apache.commons.math3.util.FastMath
    Returns the hypotenuse of a triangle with sides x and y - sqrt(x2 +y2)
    avoiding intermediate overflow or underflow.

    I

    I - Static variable in class org.apache.commons.math3.complex.Complex
    The square root of -1.
    I - Static variable in class org.apache.commons.math3.complex.Quaternion
    i
    i1 - Variable in class org.apache.commons.math3.random.AbstractWell
    Index indirection table giving for each index the value index + m1 taking table size into account.
    i2 - Variable in class org.apache.commons.math3.random.AbstractWell
    Index indirection table giving for each index the value index + m2 taking table size into account.
    i3 - Variable in class org.apache.commons.math3.random.AbstractWell
    Index indirection table giving for each index the value index + m3 taking table size into account.
    Identity - Class in org.apache.commons.math3.analysis.function
    Identity function.
    Identity() - Constructor for class org.apache.commons.math3.analysis.function.Identity
     
    IDENTITY - Static variable in class org.apache.commons.math3.complex.Quaternion
    Identity quaternion.
    IDENTITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Identity rotation.
    identityPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
    Generates a representation corresponding to an identity permutation of length l which can be passed to the RandomKey constructor.
    IEEEremainder(double, double) - Static method in class org.apache.commons.math3.util.FastMath
    Computes the remainder as prescribed by the IEEE 754 standard.
    IllConditionedOperatorException - Exception in org.apache.commons.math3.linear
    An exception to be thrown when the condition number of a RealLinearOperator is too high.
    IllConditionedOperatorException(double) - Constructor for exception org.apache.commons.math3.linear.IllConditionedOperatorException
    Creates a new instance of this class.
    IllinoisSolver - Class in org.apache.commons.math3.analysis.solvers
    Implements the Illinois method for root-finding (approximating a zero of a univariate real function).
    IllinoisSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
    Construct a solver with default accuracy (1e-6).
    IllinoisSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
    Construct a solver.
    IllinoisSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
    Construct a solver.
    IllinoisSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver
    Construct a solver.
    incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Determines whether or not this statistic can be incremented or cleared.
    incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
    Determines whether or not this statistic can be incremented or cleared.
    incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
    Determines whether or not this statistic can be incremented or cleared.
    incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Whether or not Variance.increment(double) should increment the internal second moment.
    increment(double[]) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance
    Increment the covariance matrix with one row of data.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
    Add a new vector to the sample.
    increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
    Add a new vector to the sample.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
    Updates the internal state of the statistic to reflect the addition of the new value.
    increment(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Performs multiple increments.
    increment() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Adds the increment value to the current iteration count.
    incrementAll(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
    This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the input array.
    incrementAll(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic
    This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array.
    incrementAll(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
    Updates the internal state of the statistic to reflect addition of all values in the values array.
    incrementAll(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
    Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array.
    incrementCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Increment the number of iterations.
    incrementCount(int) - Method in class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Performs multiple increments.
    incrementCount() - Method in class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Adds one to the current iteration count.
    incrementEvaluationCount() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Increment the evaluation count by one.
    incrementEvaluationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Increment the evaluation count.
    incrementExact(int) - Static method in class org.apache.commons.math3.util.FastMath
    Increment a number, detecting overflows.
    incrementExact(long) - Static method in class org.apache.commons.math3.util.FastMath
    Increment a number, detecting overflows.
    incrementIterationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Increment the iteration count.
    incrementIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
    Increments the iteration count by one, and throws an exception if the maximum number of iterations is reached.
    incrementIterationsCounter() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
    Increment the iterations counter by 1.
    Incrementor - Class in org.apache.commons.math3.util
    Deprecated.
    Incrementor() - Constructor for class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Default constructor.
    Incrementor(int) - Constructor for class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Defines a maximal count.
    Incrementor(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Defines a maximal count and a callback method to be triggered at counter exhaustion.
    Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math3.util
    Deprecated.
    Defines a method to be called at counter exhaustion.
    incrementValue(Comparable<?>, long) - Method in class org.apache.commons.math3.stat.Frequency
    Increments the frequency count for v.
    incrementValue(int, long) - Method in class org.apache.commons.math3.stat.Frequency
    Increments the frequency count for v.
    incrementValue(long, long) - Method in class org.apache.commons.math3.stat.Frequency
    Increments the frequency count for v.
    incrementValue(char, long) - Method in class org.apache.commons.math3.stat.Frequency
    Increments the frequency count for v.
    index - Variable in class org.apache.commons.math3.random.AbstractWell
    Current index in the bytes pool.
    index(double, int) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
    Finds the index of array that can be used as starting index to estimate percentile.
    inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey
    Generates a representation of a permutation corresponding to a permutation which yields permutedData when applied to originalData.
    INF - Static variable in class org.apache.commons.math3.complex.Complex
    A complex number representing "+INF + INFi"
    INFINITE - Static variable in class org.apache.commons.math3.dfp.Dfp
    Indicator value for Infinity.
    INFINITE_WINDOW - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Represents an infinite window size.
    init(FieldODEStateAndDerivative<T>, T) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel
    Initialize step handler at the start of an ODE integration.
    init(double, double[], double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Initialize step handler at the start of an ODE integration.
    init(double, double[], double) - Method in class org.apache.commons.math3.ode.events.EventFilter
    Initialize event handler at the start of an ODE integration.
    init(double, double[], double) - Method in interface org.apache.commons.math3.ode.events.EventHandler
    Initialize event handler at the start of an ODE integration.
    init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math3.ode.events.FieldEventHandler
    Initialize event handler at the start of an ODE integration.
    init(T, T[], T) - Method in class org.apache.commons.math3.ode.FieldExpandableODE
    Initialize equations at the start of an ODE integration.
    init(T, T[], T[], T) - Method in interface org.apache.commons.math3.ode.FieldSecondaryEquations
    Initialize equations at the start of an ODE integration.
    init(T, T[], T) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldDifferentialEquations
    Initialize equations at the start of an ODE integration.
    init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler
    Initialize step handler at the start of an ODE integration.
    init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math3.ode.sampling.FieldFixedStepHandler
    Initialize step handler at the start of an ODE integration.
    init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math3.ode.sampling.FieldStepHandler
    Initialize step handler at the start of an ODE integration.
    init(FieldODEStateAndDerivative<T>, T) - Method in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer
    Initialize step handler at the start of an ODE integration.
    init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler
    Initialize step handler at the start of an ODE integration.
    init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler
    Initialize step handler at the start of an ODE integration.
    init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer
    Initialize step handler at the start of an ODE integration.
    InitialGuess - Class in org.apache.commons.math3.optim
    Starting point (first guess) of the optimization procedure.
    InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optim.InitialGuess
     
    InitialGuess - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optimization.InitialGuess
    Deprecated.
     
    initializationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
    Invoked after completion of the initial phase of the iterative algorithm (prior to the main iteration loop).
    initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Initialize the high order scaled derivatives at step start.
    initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Initialize the high order scaled derivatives at step start.
    initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math3.ode.MultistepIntegrator.NordsieckTransformer
    Deprecated.
    Initialize the high order scaled derivatives at step start.
    initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
    Initialize the high order scaled derivatives at step start.
    initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
    Initialize the high order scaled derivatives at step start.
    initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
    Initialize the high order scaled derivatives at step start.
    initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
    Initialize the high order scaled derivatives at step start.
    initializeStep(boolean, int, T[], FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Initialize the integration step.
    initializeStep(boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Initialize the integration step.
    initIntegration(FieldExpandableODE<T>, T, T[], T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Prepare the start of an integration.
    initIntegration(double, double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Prepare the start of an integration.
    innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    EnumeratedDistribution instance (using the Integer wrapper) used to generate the pmf.
    innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    EnumeratedDistribution (using the Double wrapper) used to generate the pmf.
    insert(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
    Deprecated.
    Insert an element in the tree.
    insertCut(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Insert a cut sub-hyperplane in a node.
    insertEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper
    Insert equation data into a complete state or derivative array.
    insertEquationData(int, T[], T[]) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
    Insert equation data into a complete state or derivative array.
    insertInTree(BSPTree<S>, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    insertInTree(BSPTree<S>, boolean, BSPTree.VanishingCutHandler<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Insert the instance into another tree.
    InsufficientDataException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when there is insufficient data to perform a computation.
    InsufficientDataException() - Constructor for exception org.apache.commons.math3.exception.InsufficientDataException
    Construct the exception.
    InsufficientDataException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.InsufficientDataException
    Construct the exception with a specific context.
    INTEGER_ZERO - Static variable in exception org.apache.commons.math3.exception.MathIllegalNumberException
    Helper to avoid boxing warnings.
    IntegerDistribution - Interface in org.apache.commons.math3.distribution
    Interface for distributions on the integers.
    IntegerSequence - Class in org.apache.commons.math3.util
    Provides a sequence of integers.
    IntegerSequence.Incrementor - Class in org.apache.commons.math3.util
    Utility that increments a counter until a maximum is reached, at which point, the instance will by default throw a MaxCountExceededException.
    IntegerSequence.Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math3.util
    Defines a method to be called at counter exhaustion.
    IntegerSequence.Range - Class in org.apache.commons.math3.util
    Generates a sequence of integers.
    IntegerSequence.Range(int, int, int) - Constructor for class org.apache.commons.math3.util.IntegerSequence.Range
    Creates a sequence \( a_i, i < 0 <= n \) where \( a_i = start + i * step \) and \( n \) is such that \( a_n <= max \) and \( a_{n+1} > max \).
    integrate(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Integrate the function in the given interval.
    integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator
    Returns an estimate of the integral of f(x) * w(x), where w is a weight function that depends on the actual flavor of the Gauss integration scheme.
    integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
    Returns an estimate of the integral of f(x) * w(x), where w is a weight function that depends on the actual flavor of the Gauss integration scheme.
    integrate(int, UnivariateFunction, double, double) - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator
    Integrate the function in the given interval.
    integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Integrate the differential equations up to the given time.
    integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Integrate a set of differential equations up to the given time.
    integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Integrate the differential equations up to the given time.
    integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderIntegrator
    Integrate the differential equations up to the given time.
    integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator
    Integrate the differential equations up to the given time.
    integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator
    Integrate a set of differential equations up to the given time.
    integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
    Integrate the differential equations up to the given time.
    integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
    Integrate a set of differential equations up to the given time.
    integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator
    Integrate the differential equations up to the given time.
    integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator
    Integrate a set of differential equations up to the given time.
    integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Integrate a set of differential equations up to the given time.
    integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Integrate the differential equations up to the given time.
    integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
    Integrate a set of differential equations up to the given time.
    integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
    Integrate a set of differential equations up to the given time.
    integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
    Integrate the differential equations up to the given time.
    integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
    Integrate a set of differential equations up to the given time.
    integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderIntegrator
    Integrate the differential equations up to the given time
    interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.AkimaSplineInterpolator
    Computes an interpolating function for the data set.
    interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolator
    Compute an interpolating function for the dataset.
    interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator
    Deprecated.
    Compute an interpolating function for the dataset.
    interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math3.analysis.interpolation.BivariateGridInterpolator
    Compute an interpolating function for the dataset.
    interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator
    Compute an interpolating function for the dataset.
    interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
    Computes a linear interpolating function for the data set.
    interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
    Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a SplineInterpolator on the resulting fit.
    interpolate(double[][], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
    Deprecated.
    Computes an interpolating function for the data set.
    interpolate(double[][], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator
    Computes an interpolating function for the data set.
    interpolate(double[][], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.MultivariateInterpolator
    Computes an interpolating function for the data set.
    interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
    Computes an interpolating function for the data set.
    interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolator
    Compute an interpolating function for the dataset.
    interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
    Deprecated.
    Compute an interpolating function for the dataset.
    interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
    Computes an interpolating function for the data set.
    interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolator
    Compute an interpolating function for the dataset.
    interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
    Deprecated.
    Compute an interpolating function for the dataset.
    interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math3.analysis.interpolation.TrivariateGridInterpolator
    Compute an interpolating function for the dataset.
    interpolate(double[], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator
    Compute an interpolating function for the dataset.
    interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
    Compute an interpolating function for the dataset.
    interpolatedDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    interpolated derivatives
    interpolatedPrimaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    interpolated primary derivatives
    interpolatedPrimaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    interpolated primary state
    interpolatedSecondaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    interpolated secondary derivatives
    interpolatedSecondaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    interpolated secondary state
    interpolatedState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    interpolated state
    interpolatedTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    interpolated time
    InterpolatingMicrosphere - Class in org.apache.commons.math3.analysis.interpolation
    Utility class for the MicrosphereProjectionInterpolator algorithm.
    InterpolatingMicrosphere(int, int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
    Create an unitialiazed sphere.
    InterpolatingMicrosphere(int, int, double, double, double, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
    Create a sphere from randomly sampled vectors.
    InterpolatingMicrosphere(InterpolatingMicrosphere) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
    Copy constructor.
    InterpolatingMicrosphere2D - Class in org.apache.commons.math3.analysis.interpolation
    Utility class for the MicrosphereProjectionInterpolator algorithm.
    InterpolatingMicrosphere2D(int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere2D
    Create a sphere from vectors regularly sampled around a circle.
    InterpolatingMicrosphere2D(InterpolatingMicrosphere2D) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere2D
    Copy constructor.
    intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Get the intersection point of the instance and another line.
    intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get the intersection of a line with the instance.
    intersection(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Build the line shared by the instance and another plane.
    intersection(Plane, Plane, Plane) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Get the intersection point of three planes.
    intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine
    Get the intersection of the instance and another sub-line.
    intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Get the intersection point of the instance and another line.
    intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
    Get the intersection of the instance and another sub-line.
    intersection(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Get the parts of a sub-hyperplane that are contained in the region.
    intersection(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Get the parts of a sub-hyperplane that are contained in the region.
    intersection(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
    Compute the intersection of two regions.
    Interval - Class in org.apache.commons.math3.geometry.euclidean.oned
    This class represents a 1D interval.
    Interval(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Interval
    Simple constructor.
    IntervalsSet - Class in org.apache.commons.math3.geometry.euclidean.oned
    This class represents a 1D region: a set of intervals.
    IntervalsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Build an intervals set representing the whole real line.
    IntervalsSet(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Build an intervals set corresponding to a single interval.
    IntervalsSet(BSPTree<Euclidean1D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Build an intervals set from an inside/outside BSP tree.
    IntervalsSet(Collection<SubHyperplane<Euclidean1D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Build an intervals set from a Boundary REPresentation (B-rep).
    IntervalsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Deprecated.
    as of 3.1 replaced with IntervalsSet.IntervalsSet(double)
    IntervalsSet(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Deprecated.
    IntervalsSet(BSPTree<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Deprecated.
    IntervalsSet(Collection<SubHyperplane<Euclidean1D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Deprecated.
    IntervalUtils - Class in org.apache.commons.math3.stat.interval
    Factory methods to generate confidence intervals for a binomial proportion.
    intLog10() - Method in class org.apache.commons.math3.dfp.Dfp
    Get the exponent of the greatest power of 10 that is less than or equal to abs(this).
    intValue() - Method in class org.apache.commons.math3.dfp.Dfp
    Convert this to an integer.
    intValue() - Method in class org.apache.commons.math3.fraction.BigFraction
    Gets the fraction as an int.
    intValue() - Method in class org.apache.commons.math3.fraction.Fraction
    Gets the fraction as an int.
    intValue() - Method in class org.apache.commons.math3.util.Decimal64
    The current implementation performs casting to a int.
    InvalidRepresentationException - Exception in org.apache.commons.math3.genetics
    Exception indicating that the representation of a chromosome is not valid.
    InvalidRepresentationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.genetics.InvalidRepresentationException
    Construct an InvalidRepresentationException with a specialized message.
    Inverse - Class in org.apache.commons.math3.analysis.function
    Inverse function.
    Inverse() - Constructor for class org.apache.commons.math3.analysis.function.Inverse
     
    inverse() - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Computes the inverse of this diagonal matrix.
    inverse(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Computes the inverse of this diagonal matrix.
    inverse(RealMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Computes the inverse of the given matrix.
    inverse(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Computes the inverse of the given matrix.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Computes the quantile function of this distribution.
    inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Computes the quantile function of this distribution.
    invGamma1pm1(double) - Static method in class org.apache.commons.math3.special.Gamma
    Returns the value of 1 / Γ(1 + x) - 1 for -0.5 ≤ x ≤ 1.5.
    iRm1 - Variable in class org.apache.commons.math3.random.AbstractWell
    Index indirection table giving for each index its predecessor taking table size into account.
    iRm2 - Variable in class org.apache.commons.math3.random.AbstractWell
    Index indirection table giving for each index its second predecessor taking table size into account.
    ISAACRandom - Class in org.apache.commons.math3.random
    ISAAC: a fast cryptographic pseudo-random number generator
    ISAAC (Indirection, Shift, Accumulate, Add, and Count) generates 32-bit random numbers.
    ISAACRandom() - Constructor for class org.apache.commons.math3.random.ISAACRandom
    Creates a new ISAAC random number generator.
    ISAACRandom(long) - Constructor for class org.apache.commons.math3.random.ISAACRandom
    Creates a new ISAAC random number generator using a single long seed.
    ISAACRandom(int[]) - Constructor for class org.apache.commons.math3.random.ISAACRandom
    Creates a new ISAAC random number generator using an int array seed.
    isBetterScore(double, double) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
    Returns whether the first evaluation score is considered to be better than the second one by this evaluator.
    isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Returns true iff biasCorrected property is set to true.
    isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
     
    isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
     
    isBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Check whether the function takes opposite signs at the endpoints.
    isBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    Check whether the interval bounds bracket a root.
    isCounterClockWise() - Method in class org.apache.commons.math3.complex.RootsOfUnity
    Returns true if RootsOfUnity.computeRoots(int) was called with a positive value of its argument n.
    isDefaultValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Determine if this value is within epsilon of zero.
    isDirect() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Check if the hyperplane orientation is direct.
    isDirect() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Check if the hyperplane orientation is direct.
    isEmpty() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
    Check if the instance is empty.
    isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Check if the instance is empty.
    isEmpty(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Check if the sub-tree starting at a given node is empty.
    isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Check if the instance is empty.
    isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Check if the instance is empty.
    isEmpty(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Check if the sub-tree starting at a given node is empty.
    isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
    Check if the instance is empty.
    isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
    Deprecated.
    Check if the tree is empty.
    isEmpty() - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
    Check if the instance is empty.
    isForward() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
    Check if the natural integration direction is forward.
    isForward() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Check if the natural integration direction is forward.
    isForward() - Method in interface org.apache.commons.math3.ode.sampling.FieldStepInterpolator
    Check if the natural integration direction is forward.
    isForward() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
    Check if the natural integration direction is forward.
    isFull() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Check if the instance covers the full space.
    isFull(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Check if the sub-tree starting at a given node covers the full space.
    isFull() - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Check if the instance covers the full space.
    isFull(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Check if the sub-tree starting at a given node covers the full space.
    isInfinite() - Method in class org.apache.commons.math3.complex.Complex
    Checks whether either the real or imaginary part of this complex number takes an infinite value (either Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY) and neither part is NaN.
    isInfinite() - Method in class org.apache.commons.math3.dfp.Dfp
    Check if instance is infinite.
    isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
    isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
    isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
    isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
    isInfinite() - Method in interface org.apache.commons.math3.geometry.Vector
    Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
    isInfinite() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Check whether any coordinate of this vector is infinite and none are NaN.
    isInfinite() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Check whether any coordinate of this vector is infinite and none are NaN.
    isInfinite() - Method in class org.apache.commons.math3.linear.RealVector
    Check whether any coordinate of this vector is infinite and none are NaN.
    isInfinite() - Method in class org.apache.commons.math3.util.Decimal64
    Returns true if this double precision number is infinite (Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY).
    isLastStep() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Check if this step is the last one.
    isLastStep - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
    Indicator for last step.
    isLoaded() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Property indicating whether or not the distribution has been loaded.
    isMonotonic(T[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that an array is monotonically increasing or decreasing.
    isMonotonic(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
    Check that an array is monotonically increasing or decreasing.
    isNaN() - Method in class org.apache.commons.math3.complex.Complex
    Checks whether either or both parts of this complex number is NaN.
    isNaN() - Method in class org.apache.commons.math3.dfp.Dfp
    Check if instance is not a number.
    isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Returns true if any coordinate of this point is NaN; false otherwise
    isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Returns true if any coordinate of this vector is NaN; false otherwise
    isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Returns true if any coordinate of this point is NaN; false otherwise
    isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Returns true if any coordinate of this point is NaN; false otherwise
    isNaN() - Method in interface org.apache.commons.math3.geometry.Point
    Returns true if any coordinate of this point is NaN; false otherwise
    isNaN() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point
    Returns true if any coordinate of this point is NaN; false otherwise
    isNaN() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    Returns true if any coordinate of this point is NaN; false otherwise
    isNaN() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Check if any coordinate of this vector is NaN.
    isNaN() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Check whether any coordinate of this vector is NaN.
    isNaN() - Method in class org.apache.commons.math3.linear.RealVector
    Check whether any coordinate of this vector is NaN.
    isNaN() - Method in class org.apache.commons.math3.util.Decimal64
    Returns true if this double precision number is Not-a-Number (NaN), false otherwise.
    isNoIntercept() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
     
    isNonSingular() - Method in interface org.apache.commons.math3.linear.DecompositionSolver
    Check if the decomposed matrix is non-singular.
    isNonSingular() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
    Check if the decomposed matrix is non-singular.
    isParallelTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Check the instance is parallel to another line.
    isPowerOfTwo(long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Returns true if the argument is a power of two.
    isPrime(int) - Static method in class org.apache.commons.math3.primes.Primes
    Primality test: tells if the argument is a (provable) prime or not.
    isPureQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
    Checks whether the instance is a pure quaternion within a given tolerance.
    isRandomStart() - Method in class org.apache.commons.math3.genetics.CycleCrossover
    Returns whether the starting index is chosen randomly or set to zero.
    isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
     
    isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.NonNegativeConstraint
    Indicates whether all the variables must be restricted to non-negative values.
    isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryChromosome
    Returns true iff another has the same representation and therefore the same fitness.
    isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome
    Returns true iff another has the same representation and therefore the same fitness.
    isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKey
    Returns true iff another is a RandomKey and encodes the same permutation.
    isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedElapsedTime
    Determine whether or not the maximum allowed time has passed.
    isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedGenerationCount
    Determine whether or not the given number of generations have passed.
    isSatisfied(Population) - Method in interface org.apache.commons.math3.genetics.StoppingCondition
    Determine whether or not the given population satisfies the stopping condition.
    isSequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Check whether the arguments form a (strictly) increasing sequence.
    isSequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    Check whether the arguments form a (strictly) increasing sequence.
    isSimilarTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Check if the instance is similar to another line.
    isSimilarTo(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Check if the instance is similar to another plane.
    isSingular(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Returns whether this diagonal matrix is singular, i.e.
    isSolutionOptimal() - Method in class org.apache.commons.math3.optim.linear.SolutionCallback
    Returns if the found solution is optimal.
    isSquare() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Is this a square matrix?
    isSquare() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Is this a square matrix?
    isSquare() - Method in interface org.apache.commons.math3.linear.AnyMatrix
    Is this a square matrix?
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.BinomialDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.FDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.GeometricDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.PascalDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.TDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupportConnected() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Use this method to get information about whether the support is connected, i.e.
    isSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable
    Check if a parameter is supported.
    isSupported(String) - Method in interface org.apache.commons.math3.ode.Parameterizable
    Check if a parameter is supported.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Deprecated.
    to be removed in 4.0
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Whether or not the lower bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.GumbelDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogisticDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Deprecated.
    to be removed in 4.0
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Whether or not the upper bound of support is in the domain of the density function.
    isSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Checks whether a matrix is symmetric.
    isTransposable() - Method in class org.apache.commons.math3.linear.RealLinearOperator
    Returns true if this operator supports RealLinearOperator.operateTranspose(RealVector).
    isUnitQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion
    Checks whether the instance is a unit quaternion within a given tolerance.
    isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
    Indicates whether a point is within the interpolation range.
    isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
    Deprecated.
    Indicates whether a point is within the interpolation range.
    isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
    Indicates whether a point is within the interpolation range.
    isValidPoint(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
    Indicates whether a point is within the interpolation range.
    isValidPoint(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
    Indicates whether a point is within the interpolation range.
    isZero() - Method in class org.apache.commons.math3.dfp.Dfp
    Check if instance is equal to zero.
    iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Compute the next simplex of the algorithm.
    iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
    Compute the next simplex of the algorithm.
    iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
    Compute the next simplex of the algorithm.
    iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Compute the next simplex of the algorithm.
    iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
    Deprecated.
    Compute the next simplex of the algorithm.
    iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
    Deprecated.
    Compute the next simplex of the algorithm.
    IterationEvent - Class in org.apache.commons.math3.util
    The root class from which all events occurring while running an IterationManager should be derived.
    IterationEvent(Object, int) - Constructor for class org.apache.commons.math3.util.IterationEvent
    Creates a new instance of this class.
    IterationListener - Interface in org.apache.commons.math3.util
    The listener interface for receiving events occurring in an iterative algorithm.
    IterationManager - Class in org.apache.commons.math3.util
    This abstract class provides a general framework for managing iterative algorithms.
    IterationManager(int) - Constructor for class org.apache.commons.math3.util.IterationManager
    Creates a new instance of this class.
    IterationManager(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IterationManager
    IterationManager(int, IntegerSequence.Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IterationManager
    Creates a new instance of this class.
    iterationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
    Invoked each time an iteration is completed (in the main iteration loop).
    iterations - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Deprecated.
    as of 3.6, this field has been replaced with BaseAbstractUnivariateIntegrator.incrementCount()
    iterations - Variable in class org.apache.commons.math3.optim.BaseOptimizer
    Iterations counter.
    iterationStarted(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
    Invoked each time a new iteration is completed (in the main iteration loop).
    IterativeLegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
    This algorithm divides the integration interval into equally-sized sub-interval and on each of them performs a Legendre-Gauss quadrature.
    IterativeLegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
    Builds an integrator with given accuracies and iterations counts.
    IterativeLegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
    Builds an integrator with given accuracies.
    IterativeLegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator
    Builds an integrator with given iteration counts.
    IterativeLinearSolver - Class in org.apache.commons.math3.linear
    This abstract class defines an iterative solver for the linear system A · x = b.
    IterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
    Creates a new instance of this class, with default iteration manager.
    IterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver
    Creates a new instance of this class, with custom iteration manager.
    IterativeLinearSolverEvent - Class in org.apache.commons.math3.linear
    This is the base class for all events occurring during the iterations of a IterativeLinearSolver.
    IterativeLinearSolverEvent(Object, int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolverEvent
    Creates a new instance of this class.
    iterator() - Method in class org.apache.commons.math3.genetics.ListPopulation
    Returns an iterator over the unmodifiable list of chromosomes.
    iterator() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    iterator() - Method in class org.apache.commons.math3.geometry.partitioning.NodesSet
    iterator() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
    iterator() - Method in class org.apache.commons.math3.linear.RealVector
    Generic dense iterator.
    iterator() - Method in class org.apache.commons.math3.ml.neuralnet.Network
    iterator() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
    iterator() - Method in class org.apache.commons.math3.util.Combinations
    iterator() - Method in class org.apache.commons.math3.util.IntegerSequence.Range
    iterator() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
    Create an iterator over this counter.
    iterator() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Get an iterator over map elements.
    iterator() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Get an iterator over map elements.

    J

    J - Static variable in class org.apache.commons.math3.complex.Quaternion
    j
    jacobian() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateVectorFunction
    Deprecated.
    Returns the jacobian function.
    JacobianFunction - Class in org.apache.commons.math3.analysis.differentiation
    Class representing the Jacobian of a multivariate vector function.
    JacobianFunction(MultivariateDifferentiableVectorFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.JacobianFunction
    Simple constructor.
    JacobianMatrices - Class in org.apache.commons.math3.ode
    This class defines a set of secondary equations to compute the Jacobian matrices with respect to the initial state vector and, if any, to some parameters of the primary ODE set.
    JacobianMatrices(FirstOrderDifferentialEquations, double[], String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices
    Simple constructor for a secondary equations set computing Jacobian matrices.
    JacobianMatrices(MainStateJacobianProvider, String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices
    Simple constructor for a secondary equations set computing Jacobian matrices.
    JacobianMatrices.MismatchedEquations - Exception in org.apache.commons.math3.ode
    Special exception for equations mismatch.
    JacobianMatrices.MismatchedEquations() - Constructor for exception org.apache.commons.math3.ode.JacobianMatrices.MismatchedEquations
    Simple constructor.
    JacobianMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
    Deprecated.
    All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
    JacobianMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
    Deprecated.
     
    JacobiPreconditioner - Class in org.apache.commons.math3.linear
    This class implements the standard Jacobi (diagonal) preconditioner.
    JacobiPreconditioner(double[], boolean) - Constructor for class org.apache.commons.math3.linear.JacobiPreconditioner
    Creates a new instance of this class.
    JDKRandomGenerator - Class in org.apache.commons.math3.random
    Extension of java.util.Random to implement RandomGenerator.
    JDKRandomGenerator() - Constructor for class org.apache.commons.math3.random.JDKRandomGenerator
    Create a new JDKRandomGenerator with a default seed.
    JDKRandomGenerator(int) - Constructor for class org.apache.commons.math3.random.JDKRandomGenerator
    Create a new JDKRandomGenerator with the given seed.

    K

    K - Static variable in class org.apache.commons.math3.complex.Quaternion
    k
    KalmanFilter - Class in org.apache.commons.math3.filter
    Implementation of a Kalman filter to estimate the state xk of a discrete-time controlled process that is governed by the linear stochastic difference equation:
    KalmanFilter(ProcessModel, MeasurementModel) - Constructor for class org.apache.commons.math3.filter.KalmanFilter
    Creates a new Kalman filter with the given process and measurement models.
    KendallsCorrelation - Class in org.apache.commons.math3.stat.correlation
    Implementation of Kendall's Tau-b rank correlation.
    KendallsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
    Create a KendallsCorrelation instance without data.
    KendallsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
    Create a KendallsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
    KendallsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation
    Create a KendallsCorrelation from a RealMatrix whose columns represent variables to be correlated.
    key() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
    Get the key of current entry.
    key() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
    Get the key of current entry.
    KMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
    Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
    KMeansPlusPlusClusterer(int) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
    Build a clusterer.
    KMeansPlusPlusClusterer(int, int) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
    Build a clusterer.
    KMeansPlusPlusClusterer(int, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
    Build a clusterer.
    KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
    Build a clusterer.
    KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer
    Build a clusterer.
    KMeansPlusPlusClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering
    Deprecated.
    As of 3.2 (to be removed in 4.0), use KMeansPlusPlusClusterer instead
    KMeansPlusPlusClusterer(Random) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
    Deprecated.
    Build a clusterer.
    KMeansPlusPlusClusterer(Random, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer
    Deprecated.
    Build a clusterer.
    KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.ml.clustering
    Strategies to use for replacing an empty cluster.
    KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.stat.clustering
    Deprecated.
    Strategies to use for replacing an empty cluster.
    KohonenTrainingTask - Class in org.apache.commons.math3.ml.neuralnet.sofm
    Trainer for Kohonen's Self-Organizing Map.
    KohonenTrainingTask(Network, Iterator<double[]>, KohonenUpdateAction) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
    Creates a (sequential) trainer for the given network.
    KohonenUpdateAction - Class in org.apache.commons.math3.ml.neuralnet.sofm
    KohonenUpdateAction(DistanceMeasure, LearningFactorFunction, NeighbourhoodSizeFunction) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
     
    KolmogorovSmirnovDistribution - Class in org.apache.commons.math3.distribution
    Deprecated.
    to be removed in version 4.0 - use KolmogorovSmirnovTest
    KolmogorovSmirnovDistribution(int) - Constructor for class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution
    Deprecated.
     
    kolmogorovSmirnovStatistic(RealDistribution, double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Computes the one-sample Kolmogorov-Smirnov test statistic, \(D_n=\sup_x |F_n(x)-F(x)|\) where \(F\) is the distribution (cdf) function associated with distribution, \(n\) is the length of data and \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in data.
    kolmogorovSmirnovStatistic(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Computes the two-sample Kolmogorov-Smirnov test statistic, \(D_{n,m}=\sup_x |F_n(x)-F_m(x)|\) where \(n\) is the length of x, \(m\) is the length of y, \(F_n\) is the empirical distribution that puts mass \(1/n\) at each of the values in x and \(F_m\) is the empirical distribution of the y values.
    kolmogorovSmirnovStatistic(RealDistribution, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    kolmogorovSmirnovStatistic(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    KolmogorovSmirnovTest - Class in org.apache.commons.math3.stat.inference
    Implementation of the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions.
    KolmogorovSmirnovTest() - Constructor for class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Construct a KolmogorovSmirnovTest instance with a default random data generator.
    KolmogorovSmirnovTest(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Deprecated.
    kolmogorovSmirnovTest(RealDistribution, double[], boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
    kolmogorovSmirnovTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
    kolmogorovSmirnovTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution.
    kolmogorovSmirnovTest(RealDistribution, double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
    kolmogorovSmirnovTest(RealDistribution, double[], double) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Performs a Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution.
    kolmogorovSmirnovTest(RealDistribution, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    kolmogorovSmirnovTest(RealDistribution, double[], boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    kolmogorovSmirnovTest(RealDistribution, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    kolmogorovSmirnovTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    kolmogorovSmirnovTest(double[], double[], boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    KS_SUM_CAUCHY_CRITERION - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    ksSum(double, double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Computes \( 1 + 2 \sum_{i=1}^\infty (-1)^i e^{-2 i^2 t^2} \) stopping when successive partial sums are within tolerance of one another, or when maxIterations partial sums have been computed.
    KthSelector - Class in org.apache.commons.math3.util
    A Simple Kth selector implementation to pick up the Kth ordered element from a work array containing the input numbers.
    KthSelector() - Constructor for class org.apache.commons.math3.util.KthSelector
    Constructor with default median of 3 pivoting strategy
    KthSelector(PivotingStrategyInterface) - Constructor for class org.apache.commons.math3.util.KthSelector
    Constructor with specified pivoting strategy
    Kurtosis - Class in org.apache.commons.math3.stat.descriptive.moment
    Computes the Kurtosis of the available values.
    Kurtosis() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Construct a Kurtosis
    Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Construct a Kurtosis from an external moment
    Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Copy constructor, creates a new Kurtosis identical to the original

    L

    laguerre(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
    Deprecated.
    This method should not be part of the public API: It will be made private in version 4.0.
    LaguerreSolver - Class in org.apache.commons.math3.analysis.solvers
    Implements the Laguerre's Method for root finding of real coefficient polynomials.
    LaguerreSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
    Construct a solver with default accuracy (1e-6).
    LaguerreSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
    Construct a solver.
    LaguerreSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
    Construct a solver.
    LaguerreSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver
    Construct a solver.
    lanczos(double) - Static method in class org.apache.commons.math3.special.Gamma
    Returns the Lanczos approximation used to compute the gamma function.
    LANCZOS_G - Static variable in class org.apache.commons.math3.special.Gamma
    The value of the g constant in the Lanczos approximation, see Gamma.lanczos(double).
    LaplaceDistribution - Class in org.apache.commons.math3.distribution
    This class implements the Laplace distribution.
    LaplaceDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LaplaceDistribution
    Build a new instance.
    LaplaceDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LaplaceDistribution
    Build a new instance.
    LARGE_SAMPLE_PRODUCT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    When product of sample sizes exceeds this value, 2-sample K-S test uses asymptotic distribution to compute the p-value.
    lastIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
    Returns a value indicating whether the last point should be passed to the underlying fixed step size step handler.
    lazyEvaluation(boolean) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure whether evaluation will be lazy or not.
    lcm(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.
    lcm(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.
    LearningFactorFunction - Interface in org.apache.commons.math3.ml.neuralnet.sofm
    Provides the learning rate as a function of the number of calls already performed during the learning task.
    LearningFactorFunctionFactory - Class in org.apache.commons.math3.ml.neuralnet.sofm
    Factory for creating instances of LearningFactorFunction.
    LeastSquaresAdapter - Class in org.apache.commons.math3.fitting.leastsquares
    An adapter that delegates to another implementation of LeastSquaresProblem.
    LeastSquaresAdapter(LeastSquaresProblem) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter
    Delegate the LeastSquaresProblem interface to the given implementation.
    LeastSquaresBuilder - Class in org.apache.commons.math3.fitting.leastsquares
    A mutable builder for LeastSquaresProblems.
    LeastSquaresBuilder() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
     
    LeastSquaresConverter - Class in org.apache.commons.math3.optim.nonlinear.scalar
    This class converts vectorial objective functions to scalar objective functions when the goal is to minimize them.
    LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
    Builds a simple converter for uncorrelated residuals with identical weights.
    LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
    Builds a simple converter for uncorrelated residuals with the specified weights.
    LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
    Builds a simple converter for correlated residuals with the specified weights.
    LeastSquaresConverter - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
    Deprecated.
    Build a simple converter for uncorrelated residuals with the same weight.
    LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
    Deprecated.
    Build a simple converter for uncorrelated residuals with the specific weights.
    LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter
    Deprecated.
    Build a simple converter for correlated residuals with the specific weights.
    LeastSquaresFactory - Class in org.apache.commons.math3.fitting.leastsquares
    A Factory for creating LeastSquaresProblems.
    LeastSquaresOptimizer - Interface in org.apache.commons.math3.fitting.leastsquares
    An algorithm that can be applied to a non-linear least squares problem.
    LeastSquaresOptimizer.Optimum - Interface in org.apache.commons.math3.fitting.leastsquares
    The optimum found by the optimizer.
    LeastSquaresProblem - Interface in org.apache.commons.math3.fitting.leastsquares
    The data necessary to define a non-linear least squares problem.
    LeastSquaresProblem.Evaluation - Interface in org.apache.commons.math3.fitting.leastsquares
    An evaluation of a LeastSquaresProblem at a particular point.
    legendre(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
    Creates a Gauss-Legendre integrator of the given order.
    legendre(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
    Creates a Gauss-Legendre integrator of the given order.
    LegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration
    Deprecated.
    As of 3.1 (to be removed in 4.0). Please use IterativeLegendreGaussIntegrator instead.
    LegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
    Deprecated.
    Build a Legendre-Gauss integrator with given accuracies and iterations counts.
    LegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
    Deprecated.
    Build a Legendre-Gauss integrator with given accuracies.
    LegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator
    Deprecated.
    Build a Legendre-Gauss integrator with given iteration counts.
    legendreHighPrecision(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
    Creates a Gauss-Legendre integrator of the given order.
    legendreHighPrecision(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory
    Creates an integrator of the given order, and whose call to the integrate method will perform an integration on the given interval.
    LegendreHighPrecisionRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
    Factory that creates Gauss-type quadrature rule using Legendre polynomials.
    LegendreHighPrecisionRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
    Default precision is DECIMAL128.
    LegendreHighPrecisionRuleFactory(MathContext) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory
     
    LegendreRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss
    Factory that creates Gauss-type quadrature rule using Legendre polynomials.
    LegendreRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory
     
    lessThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Check if instance is less than x.
    LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.fitting.leastsquares
    This class solves a least-squares problem using the Levenberg-Marquardt algorithm.
    LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
    Default constructor.
    LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
    Construct an instance with all parameters specified.
    LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian
    Deprecated.
    All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
    LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
    Deprecated.
    Build an optimizer for least squares problems with default values for all the tuning parameters (see the other contructor.
    LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
    Deprecated.
    Constructor that allows the specification of a custom convergence checker.
    LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
    Deprecated.
    Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.
    LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
    Deprecated.
    Build an optimizer for least squares problems with default values for some of the tuning parameters (see the other contructor.
    LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer
    Deprecated.
    The arguments control the behaviour of the default convergence checking procedure.
    LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optimization.general
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
    Deprecated.
    Build an optimizer for least squares problems with default values for all the tuning parameters (see the other contructor.
    LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
    Deprecated.
    Constructor that allows the specification of a custom convergence checker.
    LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
    Deprecated.
    Constructor that allows the specification of a custom convergence checker, in addition to the standard ones.
    LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
    Deprecated.
    Build an optimizer for least squares problems with default values for some of the tuning parameters (see the other contructor.
    LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer
    Deprecated.
    The arguments control the behaviour of the default convergence checking procedure.
    LevyDistribution - Class in org.apache.commons.math3.distribution
    This class implements the Lévy distribution.
    LevyDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LevyDistribution
    Build a new instance.
    LevyDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LevyDistribution
    Creates a LevyDistribution.
    LimitAngle - Class in org.apache.commons.math3.geometry.spherical.oned
    This class represents a 1D oriented hyperplane on the circle.
    LimitAngle(S1Point, boolean, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Simple constructor.
    Line - Class in org.apache.commons.math3.geometry.euclidean.threed
    The class represent lines in a three dimensional space.
    Line(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
    Build a line from two points.
    Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
    Copy constructor.
    Line(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line
    Deprecated.
    as of 3.3, replaced with Line.Line(Vector3D, Vector3D, double)
    Line - Class in org.apache.commons.math3.geometry.euclidean.twod
    This class represents an oriented line in the 2D plane.
    Line(Vector2D, Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
    Build a line from two points.
    Line(Vector2D, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
    Build a line from a point and an angle.
    Line(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
    Deprecated.
    as of 3.3, replaced with Line.Line(Vector2D, Vector2D, double)
    Line(Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
    Deprecated.
    as of 3.3, replaced with Line.Line(Vector2D, double, double)
    Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line
    Copy constructor.
    linearCombination(DerivativeStructure[], DerivativeStructure[]) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute a linear combination.
    linearCombination(double[], DerivativeStructure[]) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute a linear combination.
    linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute a linear combination.
    linearCombination(double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute a linear combination.
    linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute a linear combination.
    linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute a linear combination.
    linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute a linear combination.
    linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute a linear combination.
    linearCombination(double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute linear combination.
    linearCombination(double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute linear combination.
    linearCombination(double, double[], int, double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute linear combination.
    linearCombination(SparseGradient[], SparseGradient[]) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute a linear combination.
    linearCombination(double[], SparseGradient[]) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute a linear combination.
    linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute a linear combination.
    linearCombination(double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute a linear combination.
    linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute a linear combination.
    linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute a linear combination.
    linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute a linear combination.
    linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute a linear combination.
    linearCombination(Dfp[], Dfp[]) - Method in class org.apache.commons.math3.dfp.Dfp
    Compute a linear combination.
    linearCombination(double[], Dfp[]) - Method in class org.apache.commons.math3.dfp.Dfp
    Compute a linear combination.
    linearCombination(Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Compute a linear combination.
    linearCombination(double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Compute a linear combination.
    linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Compute a linear combination.
    linearCombination(double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Compute a linear combination.
    linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Compute a linear combination.
    linearCombination(double, Dfp, double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Compute a linear combination.
    linearCombination(T[], T[]) - Method in interface org.apache.commons.math3.RealFieldElement
    Compute a linear combination.
    linearCombination(double[], T[]) - Method in interface org.apache.commons.math3.RealFieldElement
    Compute a linear combination.
    linearCombination(T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
    Compute a linear combination.
    linearCombination(double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
    Compute a linear combination.
    linearCombination(T, T, T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
    Compute a linear combination.
    linearCombination(double, T, double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
    Compute a linear combination.
    linearCombination(T, T, T, T, T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement
    Compute a linear combination.
    linearCombination(double, T, double, T, double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement
    Compute a linear combination.
    linearCombination(Decimal64[], Decimal64[]) - Method in class org.apache.commons.math3.util.Decimal64
    Compute a linear combination.
    linearCombination(double[], Decimal64[]) - Method in class org.apache.commons.math3.util.Decimal64
    Compute a linear combination.
    linearCombination(Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Compute a linear combination.
    linearCombination(double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Compute a linear combination.
    linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Compute a linear combination.
    linearCombination(double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Compute a linear combination.
    linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Compute a linear combination.
    linearCombination(double, Decimal64, double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Compute a linear combination.
    linearCombination(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Compute a linear combination accurately.
    linearCombination(double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
    Compute a linear combination accurately.
    linearCombination(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
    Compute a linear combination accurately.
    linearCombination(double, double, double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays
    Compute a linear combination accurately.
    LinearConstraint - Class in org.apache.commons.math3.optim.linear
    A linear constraint for a linear optimization problem.
    LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
    Build a constraint involving a single linear equation.
    LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
    Build a constraint involving a single linear equation.
    LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
    Build a constraint involving two linear equations.
    LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint
    Build a constraint involving two linear equations.
    LinearConstraint - Class in org.apache.commons.math3.optimization.linear
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
    Deprecated.
    Build a constraint involving a single linear equation.
    LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
    Deprecated.
    Build a constraint involving a single linear equation.
    LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
    Deprecated.
    Build a constraint involving two linear equations.
    LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint
    Deprecated.
    Build a constraint involving two linear equations.
    LinearConstraintSet - Class in org.apache.commons.math3.optim.linear
    Class that represents a set of linear constraints.
    LinearConstraintSet(LinearConstraint...) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet
    Creates a set containing the given constraints.
    LinearConstraintSet(Collection<LinearConstraint>) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet
    Creates a set containing the given constraints.
    LinearInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Implements a linear function for interpolation of real univariate functions.
    LinearInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LinearInterpolator
     
    LinearObjectiveFunction - Class in org.apache.commons.math3.optim.linear
    An objective function for a linear optimization problem.
    LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
     
    LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
     
    LinearObjectiveFunction - Class in org.apache.commons.math3.optimization.linear
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
    Deprecated.
     
    LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction
    Deprecated.
     
    LinearOptimizer - Class in org.apache.commons.math3.optim.linear
    Base class for implementing linear optimizers.
    LinearOptimizer() - Constructor for class org.apache.commons.math3.optim.linear.LinearOptimizer
    Simple constructor with default settings.
    LinearOptimizer - Interface in org.apache.commons.math3.optimization.linear
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    LineSearch - Class in org.apache.commons.math3.optim.nonlinear.scalar
    Class for finding the minimum of the objective function along a given direction.
    LineSearch(MultivariateOptimizer, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
    The BrentOptimizer default stopping criterion uses the tolerances to check the domain (point) values, not the function values.
    ListPopulation - Class in org.apache.commons.math3.genetics
    Population of chromosomes represented by a List.
    ListPopulation(int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation
    Creates a new ListPopulation instance and initializes its inner chromosome list.
    ListPopulation(List<Chromosome>, int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation
    Creates a new ListPopulation instance.
    load(double[]) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Computes the empirical distribution from the provided array of numbers.
    load(URL) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Computes the empirical distribution using data read from a URL.
    load(File) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Computes the empirical distribution from the input file.
    Localizable - Interface in org.apache.commons.math3.exception.util
    Interface for localizable strings.
    LocalizedFormats - Enum in org.apache.commons.math3.exception.util
    Enumeration for localized messages formats used in exceptions messages.
    LocationFinder - Class in org.apache.commons.math3.ml.neuralnet.twod.util
    Helper class to find the grid coordinates of a neuron.
    LocationFinder(NeuronSquareMesh2D) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder
    Builds a finder to retrieve the locations of neurons that belong to the given map.
    LocationFinder.Location - Class in org.apache.commons.math3.ml.neuralnet.twod.util
    Container holding a (row, column) pair.
    LocationFinder.Location(int, int) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder.Location
     
    LoessInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.
    LoessInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
    Constructs a new LoessInterpolator with a bandwidth of LoessInterpolator.DEFAULT_BANDWIDTH, LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS robustness iterations and an accuracy of {#link #DEFAULT_ACCURACY}.
    LoessInterpolator(double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
    Construct a new LoessInterpolator with given bandwidth and number of robustness iterations.
    LoessInterpolator(double, int, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
    Construct a new LoessInterpolator with given bandwidth, number of robustness iterations and accuracy.
    log() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Natural logarithm.
    log(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute natural logarithm of a derivative structure.
    log() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Natural logarithm.
    Log - Class in org.apache.commons.math3.analysis.function
    Natural logarithm function.
    Log() - Constructor for class org.apache.commons.math3.analysis.function.Log
     
    log() - Method in class org.apache.commons.math3.complex.Complex
    Compute the natural logarithm of this complex number.
    log() - Method in class org.apache.commons.math3.dfp.Dfp
    Natural logarithm.
    log(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Returns the natural logarithm of a.
    log() - Method in interface org.apache.commons.math3.RealFieldElement
    Natural logarithm.
    log() - Method in class org.apache.commons.math3.util.Decimal64
    Natural logarithm.
    log(double) - Static method in class org.apache.commons.math3.util.FastMath
    Natural logarithm.
    log(double, double) - Static method in class org.apache.commons.math3.util.FastMath
    Computes the logarithm in a given base.
    log10() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Base 10 logarithm.
    log10(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Computes base 10 logarithm of a derivative structure.
    log10() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Base 10 logarithm.
    Log10 - Class in org.apache.commons.math3.analysis.function
    Base 10 logarithm function.
    Log10() - Constructor for class org.apache.commons.math3.analysis.function.Log10
     
    log10() - Method in class org.apache.commons.math3.dfp.Dfp
    Deprecated.
    as of 3.2, replaced by Dfp.intLog10(), in 4.0 the return type will be changed to Dfp
    log10() - Method in class org.apache.commons.math3.util.Decimal64
    Base 10 logarithm.
    log10(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the base 10 logarithm.
    log10K() - Method in class org.apache.commons.math3.dfp.Dfp
    Get the exponent of the greatest power of 10000 that is less than or equal to the absolute value of this.
    log1p() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Shifted natural logarithm.
    log1p(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Computes shifted logarithm of a derivative structure.
    log1p() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Shifted natural logarithm.
    Log1p - Class in org.apache.commons.math3.analysis.function
    log(1 + p) function.
    Log1p() - Constructor for class org.apache.commons.math3.analysis.function.Log1p
     
    log1p() - Method in class org.apache.commons.math3.dfp.Dfp
    Shifted natural logarithm.
    log1p() - Method in interface org.apache.commons.math3.RealFieldElement
    Shifted natural logarithm.
    log1p() - Method in class org.apache.commons.math3.util.Decimal64
    Shifted natural logarithm.
    log1p(double) - Static method in class org.apache.commons.math3.util.FastMath
    Computes log(1 + x).
    logBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
    Deprecated.
    as of version 3.1, this method is deprecated as the computation of the beta function is no longer iterative; it will be removed in version 4.0. Current implementation of this method internally calls Beta.logBeta(double, double).
    logBeta(double, double) - Static method in class org.apache.commons.math3.special.Beta
    Returns the value of log B(p, q) for 0 ≤ x ≤ 1 and p, q > 0.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.FDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.TDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logDensity(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution
    Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x.
    logGamma(double) - Static method in class org.apache.commons.math3.special.Gamma
    Returns the value of log Γ(x) for x > 0.
    logGamma1p(double) - Static method in class org.apache.commons.math3.special.Gamma
    Returns the value of log Γ(1 + x) for -0.5 ≤ x ≤ 1.5.
    logInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Computes the natural log of a number between 0 and 2.
    Logistic - Class in org.apache.commons.math3.analysis.function
    Logistic(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logistic
     
    Logistic.Parametric - Class in org.apache.commons.math3.analysis.function
    Parametric function where the input array contains the parameters of the logistic function, ordered as follows: k m b q a n
    Logistic.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logistic.Parametric
     
    LogisticDistribution - Class in org.apache.commons.math3.distribution
    This class implements the Logistic distribution.
    LogisticDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LogisticDistribution
    Build a new instance.
    LogisticDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LogisticDistribution
    Build a new instance.
    Logit - Class in org.apache.commons.math3.analysis.function
    Logit function.
    Logit() - Constructor for class org.apache.commons.math3.analysis.function.Logit
    Usual logit function, where the lower bound is 0 and the higher bound is 1.
    Logit(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logit
    Logit function.
    Logit.Parametric - Class in org.apache.commons.math3.analysis.function
    Parametric function where the input array contains the parameters of the logit function, ordered as follows: Lower bound Higher bound
    Logit.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logit.Parametric
     
    LogNormalDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the log-normal (gaussian) distribution.
    LogNormalDistribution() - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
    Create a log-normal distribution, where the mean and standard deviation of the normally distributed natural logarithm of the log-normal distribution are equal to zero and one respectively.
    LogNormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
    Create a log-normal distribution using the specified scale and shape.
    LogNormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
    Create a log-normal distribution using the specified scale, shape and inverse cumulative distribution accuracy.
    LogNormalDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
    Creates a log-normal distribution.
    LogNormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution
    Creates a log-normal distribution.
    logProbability(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
    logProbability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
    logProbability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
    logProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
    logProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
    logProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
    logProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm.
    longValue() - Method in class org.apache.commons.math3.fraction.BigFraction
    Gets the fraction as a long.
    longValue() - Method in class org.apache.commons.math3.fraction.Fraction
    Gets the fraction as a long.
    longValue() - Method in class org.apache.commons.math3.util.Decimal64
    The current implementation performs casting to a long.
    LUDecomposition - Class in org.apache.commons.math3.linear
    Calculates the LUP-decomposition of a square matrix.
    LUDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.LUDecomposition
    Calculates the LU-decomposition of the given matrix.
    LUDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.LUDecomposition
    Calculates the LU-decomposition of the given matrix.
    LutherFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations.
    LutherFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator
    Simple constructor.
    LutherIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations.
    LutherIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherIntegrator
    Simple constructor.

    M

    m2 - Variable in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
    second moment of values that have been added
    main(String[]) - Static method in class org.apache.commons.math3.util.FastMath
    Print out contents of arrays, and check the length.
    mainSetDimension - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Main set dimension.
    mainSetDimension - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Main set dimension.
    MainStateJacobianProvider - Interface in org.apache.commons.math3.ode
    Interface expanding first order differential equations in order to compute exactly the main state jacobian matrix for partial derivatives equations.
    ManhattanDistance - Class in org.apache.commons.math3.ml.distance
    Calculates the L1 (sum of abs) distance between two points.
    ManhattanDistance() - Constructor for class org.apache.commons.math3.ml.distance.ManhattanDistance
     
    mannWhitneyU(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
    Computes the Mann-Whitney U statistic comparing mean for two independent samples possibly of different length.
    MannWhitneyUTest - Class in org.apache.commons.math3.stat.inference
    An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test).
    MannWhitneyUTest() - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
    Create a test instance using where NaN's are left in place and ties get the average of applicable ranks.
    MannWhitneyUTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest
    Create a test instance using the given strategies for NaN's and ties.
    mannWhitneyUTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest
    Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples.
    mant - Variable in class org.apache.commons.math3.dfp.Dfp
    Mantissa.
    map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Acts as if implemented as:
    map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
    Acts as if implemented as:
    mapAdd(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Map an addition operation to each entry.
    mapAdd(T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Map an addition operation to each entry.
    mapAdd(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Add a value to each entry.
    mapAdd(double) - Method in class org.apache.commons.math3.linear.RealVector
    Add a value to each entry.
    mapAdd(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Map an addition operation to each entry.
    mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Map an addition operation to each entry.
    mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Add a value to each entry.
    mapAddToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Map an addition operation to each entry.
    mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Add a value to each entry.
    mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
    Add a value to each entry.
    mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Map an addition operation to each entry.
    MapDataVisualization - Interface in org.apache.commons.math3.ml.neuralnet.twod.util
    Interface for algorithms that compute some metrics of the projection of data on a 2D-map.
    mapDerivative(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
    Map a state derivative to a complete flat array.
    mapDivide(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Map a division operation to each entry.
    mapDivide(T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Map a division operation to each entry.
    mapDivide(double) - Method in class org.apache.commons.math3.linear.RealVector
    Divide each entry by the argument.
    mapDivide(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Map a division operation to each entry.
    mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Map a division operation to each entry.
    mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Divide each entry by the argument.
    mapDivideToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Map a division operation to each entry.
    mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
    Divide each entry by the argument.
    mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Map a division operation to each entry.
    mapInv() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Map the 1/x function to each entry.
    mapInv() - Method in interface org.apache.commons.math3.linear.FieldVector
    Map the 1/x function to each entry.
    mapInv() - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Map the 1/x function to each entry.
    mapInvToSelf() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Map the 1/x function to each entry.
    mapInvToSelf() - Method in interface org.apache.commons.math3.linear.FieldVector
    Map the 1/x function to each entry.
    mapInvToSelf() - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Map the 1/x function to each entry.
    mapMultiply(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Map a multiplication operation to each entry.
    mapMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Map a multiplication operation to each entry.
    mapMultiply(double) - Method in class org.apache.commons.math3.linear.RealVector
    Multiply each entry by the argument.
    mapMultiply(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Map a multiplication operation to each entry.
    mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Map a multiplication operation to each entry.
    mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Multiply each entry.
    mapMultiplyToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Map a multiplication operation to each entry.
    mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
    Multiply each entry.
    mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Map a multiplication operation to each entry.
    mapState(FieldODEState<T>) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
    Map a state to a complete flat array.
    mapStateAndDerivative(T, T[], T[]) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper
    Map flat arrays to a state and derivative.
    mapSubtract(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Map a subtraction operation to each entry.
    mapSubtract(T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Map a subtraction operation to each entry.
    mapSubtract(double) - Method in class org.apache.commons.math3.linear.RealVector
    Subtract a value from each entry.
    mapSubtract(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Map a subtraction operation to each entry.
    mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Map a subtraction operation to each entry.
    mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Subtract a value from each entry.
    mapSubtractToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Map a subtraction operation to each entry.
    mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector
    Subtract a value from each entry.
    mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Map a subtraction operation to each entry.
    mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Acts as if it is implemented as:
    mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector
    Acts as if it is implemented as:
    MapUtils - Class in org.apache.commons.math3.ml.neuralnet
    Utilities for network maps.
    MapVisualization - Interface in org.apache.commons.math3.ml.neuralnet.twod.util
    Interface for algorithms that compute some property of a 2D-map.
    mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.CycleCrossover
    mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.OrderedCrossover
    MathArithmeticException - Exception in org.apache.commons.math3.exception
    Base class for arithmetic exceptions.
    MathArithmeticException() - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException
    Default constructor.
    MathArithmeticException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException
    Constructor with a specific message.
    MathArrays - Class in org.apache.commons.math3.util
    Arrays utilities.
    MathArrays.Function - Interface in org.apache.commons.math3.util
    Real-valued function that operate on an array or a part of it.
    MathArrays.OrderDirection - Enum in org.apache.commons.math3.util
    Specification of ordering direction.
    MathArrays.Position - Enum in org.apache.commons.math3.util
    Specification for indicating that some operation applies before or after a given index.
    MathIllegalArgumentException - Exception in org.apache.commons.math3.exception
    Base class for all preconditions violation exceptions.
    MathIllegalArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalArgumentException
     
    MathIllegalNumberException - Exception in org.apache.commons.math3.exception
    Base class for exceptions raised by a wrong number.
    MathIllegalNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalNumberException
    Construct an exception.
    MathIllegalStateException - Exception in org.apache.commons.math3.exception
    Base class for all exceptions that signal that the process throwing the exception is in a state that does not comply with the set of states that it is designed to be in.
    MathIllegalStateException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
    Simple constructor.
    MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
    Simple constructor.
    MathIllegalStateException() - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException
    Default constructor.
    MathInternalError - Exception in org.apache.commons.math3.exception
    Exception triggered when something that shouldn't happen does happen.
    MathInternalError() - Constructor for exception org.apache.commons.math3.exception.MathInternalError
    Simple constructor.
    MathInternalError(Throwable) - Constructor for exception org.apache.commons.math3.exception.MathInternalError
    Simple constructor.
    MathInternalError(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathInternalError
    Constructor accepting a localized message.
    MathParseException - Exception in org.apache.commons.math3.exception
    Class to signal parse failures.
    MathParseException(String, int, Class<?>) - Constructor for exception org.apache.commons.math3.exception.MathParseException
     
    MathParseException(String, int) - Constructor for exception org.apache.commons.math3.exception.MathParseException
     
    MathRuntimeException - Exception in org.apache.commons.math3.exception
    As of release 4.0, all exceptions thrown by the Commons Math code (except NullArgumentException) inherit from this class.
    MathRuntimeException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathRuntimeException
     
    MathUnsupportedOperationException - Exception in org.apache.commons.math3.exception
    Base class for all unsupported features.
    MathUnsupportedOperationException() - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException
    Default constructor.
    MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException
     
    MathUtils - Class in org.apache.commons.math3.util
    Miscellaneous utility functions.
    MatrixDimensionMismatchException - Exception in org.apache.commons.math3.linear
    Exception to be thrown when either the number of rows or the number of columns of a matrix do not match the expected values.
    MatrixDimensionMismatchException(int, int, int, int) - Constructor for exception org.apache.commons.math3.linear.MatrixDimensionMismatchException
    Construct an exception from the mismatched dimensions.
    MatrixUtils - Class in org.apache.commons.math3.linear
    A collection of static methods that operate on or return matrices.
    Max - Class in org.apache.commons.math3.analysis.function
    Maximum function.
    Max() - Constructor for class org.apache.commons.math3.analysis.function.Max
     
    Max - Class in org.apache.commons.math3.stat.descriptive.rank
    Returns the maximum of the available values.
    Max() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
    Create a Max instance
    Max(Max) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max
    Copy constructor, creates a new Max identical to the original
    max(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the maximum of the entries in the input array, or Double.NaN if the array is empty.
    max(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    max(int, int) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the maximum of two values
    max(long, long) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the maximum of two values
    max(float, float) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the maximum of two values
    max(double, double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the maximum of two values
    max(T, T) - Static method in class org.apache.commons.math3.util.MathUtils
    Find the maximum of two field elements.
    MAX_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
    The maximum exponent before overflow is signaled and results flushed to infinity
    MaxCountExceededException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when some counter maximum value is exceeded.
    MaxCountExceededException(Number) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException
    Construct the exception.
    MaxCountExceededException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException
    Construct the exception with a specific context.
    MaxEval - Class in org.apache.commons.math3.optim
    Maximum number of evaluations of the function to be optimized.
    MaxEval(int) - Constructor for class org.apache.commons.math3.optim.MaxEval
     
    maxEvaluations(int) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the max evaluations.
    MAXIMUM_PARTIAL_SUM_COUNT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Bound on the number of partial sums in KolmogorovSmirnovTest.ksSum(double, double, int)
    MaxIter - Class in org.apache.commons.math3.optim
    Maximum number of iterations performed by an (iterative) algorithm.
    MaxIter(int) - Constructor for class org.apache.commons.math3.optim.MaxIter
     
    maxIterations(int) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the max iterations.
    mdfft(Object, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
    Deprecated.
    see MATH-736
    Mean - Class in org.apache.commons.math3.stat.descriptive.moment
    Computes the arithmetic mean of a set of values.
    Mean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
    Constructs a Mean.
    Mean(FirstMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
    Constructs a Mean with an External Moment.
    Mean(Mean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean
    Copy constructor, creates a new Mean identical to the original
    mean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the arithmetic mean of the entries in the input array, or Double.NaN if the array is empty.
    mean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    meanDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
    MeasurementModel - Interface in org.apache.commons.math3.filter
    Defines the measurement model for the use with a KalmanFilter.
    Median - Class in org.apache.commons.math3.stat.descriptive.rank
    Returns the median of the available values.
    Median() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
    Default constructor.
    Median(Median) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median
    Copy constructor, creates a new Median identical to the original
    MedianOf3PivotingStrategy - Class in org.apache.commons.math3.util
    Classic median of 3 strategy given begin and end indices.
    MedianOf3PivotingStrategy() - Constructor for class org.apache.commons.math3.util.MedianOf3PivotingStrategy
     
    merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTree.LeafMerger
    Merge a leaf node and a tree node.
    merge(BSPTree<S>, BSPTree.LeafMerger<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Merge a BSP tree with the instance.
    merge(Frequency) - Method in class org.apache.commons.math3.stat.Frequency
    Merge another Frequency object's counts into this instance.
    merge(Collection<Frequency>) - Method in class org.apache.commons.math3.stat.Frequency
    Merge a Collection of Frequency objects into this instance.
    MersenneTwister - Class in org.apache.commons.math3.random
    This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
    MersenneTwister() - Constructor for class org.apache.commons.math3.random.MersenneTwister
    Creates a new random number generator.
    MersenneTwister(int) - Constructor for class org.apache.commons.math3.random.MersenneTwister
    Creates a new random number generator using a single int seed.
    MersenneTwister(int[]) - Constructor for class org.apache.commons.math3.random.MersenneTwister
    Creates a new random number generator using an int array seed.
    MersenneTwister(long) - Constructor for class org.apache.commons.math3.random.MersenneTwister
    Creates a new random number generator using a single long seed.
    MicrosphereInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
    Deprecated.
    Code will be removed in 4.0. Use InterpolatingMicrosphere and MicrosphereProjectionInterpolator instead.
    MicrosphereInterpolatingFunction(double[][], double[], int, int, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
    Deprecated.
     
    MicrosphereInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Deprecated.
    Code will be removed in 4.0. Use InterpolatingMicrosphere and MicrosphereProjectionInterpolator instead.
    MicrosphereInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
    Deprecated.
    Create a microsphere interpolator with default settings.
    MicrosphereInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator
    Deprecated.
    Create a microsphere interpolator.
    MicrosphereProjectionInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Interpolator that implements the algorithm described in William Dudziak's MS thesis.
    MicrosphereProjectionInterpolator(int, int, double, double, double, double, boolean, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator
    Create a microsphere interpolator.
    MicrosphereProjectionInterpolator(InterpolatingMicrosphere, double, boolean, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator
    Create a microsphere interpolator.
    midpoint(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    Compute the midpoint of two values.
    MIDPOINT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.MidPointIntegrator
    Maximum number of iterations for midpoint.
    MidpointFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
    MidpointFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator
    Simple constructor.
    MidPointIntegrator - Class in org.apache.commons.math3.analysis.integration
    Implements the Midpoint Rule for integration of real univariate functions.
    MidPointIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
    Build a midpoint integrator with given accuracies and iterations counts.
    MidPointIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
    Build a midpoint integrator with given iteration counts.
    MidPointIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator
    Construct a midpoint integrator with default settings.
    MidpointIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
    MidpointIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator
    Simple constructor.
    MillerUpdatingRegression - Class in org.apache.commons.math3.stat.regression
    This class is a concrete implementation of the UpdatingMultipleLinearRegression interface.
    MillerUpdatingRegression(int, boolean, double) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    This is the augmented constructor for the MillerUpdatingRegression class.
    MillerUpdatingRegression(int, boolean) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    Primary constructor for the MillerUpdatingRegression.
    Min - Class in org.apache.commons.math3.analysis.function
    Minimum function.
    Min() - Constructor for class org.apache.commons.math3.analysis.function.Min
     
    Min - Class in org.apache.commons.math3.stat.descriptive.rank
    Returns the minimum of the available values.
    Min() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
    Create a Min instance
    Min(Min) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min
    Copy constructor, creates a new Min identical to the original
    min(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the minimum of the entries in the input array, or Double.NaN if the array is empty.
    min(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    min(int, int) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the minimum of two values
    min(long, long) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the minimum of two values
    min(float, float) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the minimum of two values
    min(double, double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the minimum of two values
    min(T, T) - Static method in class org.apache.commons.math3.util.MathUtils
    Find the minimum of two field elements.
    MIN_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp
    The minimum exponent before underflow is signaled.
    MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer
    Minimum dimension of the problem: 2
    MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer
    Deprecated.
    Minimum dimension of the problem: 2
    Minus - Class in org.apache.commons.math3.analysis.function
    Minus function.
    Minus() - Constructor for class org.apache.commons.math3.analysis.function.Minus
     
    MINUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Opposite of the first canonical vector (coordinates: -1, 0, 0).
    MINUS_I - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    -I (coordinates: \( \theta = \pi, \varphi = \pi/2 \)).
    MINUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Opposite of the second canonical vector (coordinates: 0, -1, 0).
    MINUS_J - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    -J (coordinates: \( \theta = 3\pi/2, \varphi = \pi/2 \)).
    MINUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Opposite of the third canonical vector (coordinates: 0, 0, -1).
    MINUS_K - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    -K (coordinates: \( \theta = any angle, \varphi = \pi \)).
    MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "-1 / 1".
    MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "-1 / 1".
    MixtureMultivariateNormalDistribution - Class in org.apache.commons.math3.distribution
    Multivariate normal mixture distribution.
    MixtureMultivariateNormalDistribution(double[], double[][], double[][][]) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
    Creates a multivariate normal mixture distribution.
    MixtureMultivariateNormalDistribution(List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
    Creates a mixture model from a list of distributions and their associated weights.
    MixtureMultivariateNormalDistribution(RandomGenerator, List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution
    Creates a mixture model from a list of distributions and their associated weights.
    MixtureMultivariateRealDistribution<T extends MultivariateRealDistribution> - Class in org.apache.commons.math3.distribution
    Class for representing mixture model distributions.
    MixtureMultivariateRealDistribution(List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
    Creates a mixture model from a list of distributions and their associated weights.
    MixtureMultivariateRealDistribution(RandomGenerator, List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
    Creates a mixture model from a list of distributions and their associated weights.
    mode(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the sample mode(s).
    mode(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the sample mode(s).
    model(MultivariateVectorFunction, MultivariateMatrixFunction) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the model function.
    model(MultivariateJacobianFunction) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the model function.
    model(MultivariateVectorFunction, MultivariateMatrixFunction) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
    ModelFunction - Class in org.apache.commons.math3.optim.nonlinear.vector
    Deprecated.
    All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
    ModelFunction(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction
    Deprecated.
     
    ModelFunctionJacobian - Class in org.apache.commons.math3.optim.nonlinear.vector
    Deprecated.
    All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
    ModelFunctionJacobian(MultivariateMatrixFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian
    Deprecated.
     
    ModelSpecificationException - Exception in org.apache.commons.math3.stat.regression
    Exception thrown when a regression model is not correctly specified.
    ModelSpecificationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.stat.regression.ModelSpecificationException
     
    moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis
    Fourth Moment on which this statistic is based
    moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean
    First moment on which this statistic is based.
    moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness
    Third moment on which this statistic is based
    moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance
    SecondMoment is used in incremental calculation of Variance
    MonotoneChain - Class in org.apache.commons.math3.geometry.euclidean.twod.hull
    Implements Andrew's monotone chain method to generate the convex hull of a finite set of points in the two-dimensional euclidean space.
    MonotoneChain() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
    Create a new MonotoneChain instance.
    MonotoneChain(boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
    Create a new MonotoneChain instance.
    MonotoneChain(boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain
    Create a new MonotoneChain instance.
    MONTE_CARLO_ITERATIONS - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Deprecated.
    monteCarloP(double, int, int, boolean, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Uses Monte Carlo simulation to approximate \(P(D_{n,m} > d)\) where \(D_{n,m}\) is the 2-sample Kolmogorov-Smirnov statistic.
    monteCarloP(double, int, int, boolean, int) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    mulAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Multiply two integers, checking for overflow.
    mulAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Multiply two long integers, checking for overflow.
    MullerSolver - Class in org.apache.commons.math3.analysis.solvers
    This class implements the Muller's Method for root finding of real univariate functions.
    MullerSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
    Construct a solver with default accuracy (1e-6).
    MullerSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
    Construct a solver.
    MullerSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver
    Construct a solver.
    MullerSolver2 - Class in org.apache.commons.math3.analysis.solvers
    This class implements the Muller's Method for root finding of real univariate functions.
    MullerSolver2() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
    Construct a solver with default accuracy (1e-6).
    MullerSolver2(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
    Construct a solver.
    MullerSolver2(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2
    Construct a solver.
    MultidimensionalCounter - Class in org.apache.commons.math3.util
    Converter between unidimensional storage structure and multidimensional conceptual structure.
    MultidimensionalCounter(int...) - Constructor for class org.apache.commons.math3.util.MultidimensionalCounter
    Create a counter.
    MultidimensionalCounter.Iterator - Class in org.apache.commons.math3.util
    Perform iteration over the multidimensional counter.
    MultiDimensionMismatchException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when two sets of dimensions differ.
    MultiDimensionMismatchException(Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException
    Construct an exception from the mismatched dimensions.
    MultiDimensionMismatchException(Localizable, Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException
    Construct an exception from the mismatched dimensions.
    MultiDirectionalSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
    This class implements the multi-directional direct search method.
    MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
    Build a multi-directional simplex with default coefficients.
    MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
    Build a multi-directional simplex with default coefficients.
    MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
    Build a multi-directional simplex with specified coefficients.
    MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
    Build a multi-directional simplex with specified coefficients.
    MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
    Build a multi-directional simplex with default coefficients.
    MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
    Build a multi-directional simplex with specified coefficients.
    MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
    Build a multi-directional simplex with default coefficients.
    MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex
    Build a multi-directional simplex with specified coefficients.
    MultiDirectionalSimplex - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
    Deprecated.
    Build a multi-directional simplex with default coefficients.
    MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
    Deprecated.
    Build a multi-directional simplex with default coefficients.
    MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
    Deprecated.
    Build a multi-directional simplex with specified coefficients.
    MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
    Deprecated.
    Build a multi-directional simplex with specified coefficients.
    MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
    Deprecated.
    Build a multi-directional simplex with default coefficients.
    MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
    Deprecated.
    Build a multi-directional simplex with specified coefficients.
    MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
    Deprecated.
    Build a multi-directional simplex with default coefficients.
    MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex
    Deprecated.
    Build a multi-directional simplex with specified coefficients.
    MultiKMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering
    A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution.
    MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int) - Constructor for class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
    Build a clusterer.
    MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int, ClusterEvaluator<T>) - Constructor for class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer
    Build a clusterer.
    MultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
    The multiple linear regression can be represented in matrix-notation.
    MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute n × this.
    multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    '×' operator.
    multiply(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute this × a.
    multiply(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Perform multiplication of two derivative structures.
    multiply(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute this × a.
    multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    '×' operator.
    multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute n × this.
    Multiply - Class in org.apache.commons.math3.analysis.function
    Multiply the two operands.
    Multiply() - Constructor for class org.apache.commons.math3.analysis.function.Multiply
     
    multiply(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Multiplies functions.
    multiply(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Multiplies functions.
    multiply(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    multiply(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Multiply the instance by a polynomial.
    multiply(Complex) - Method in class org.apache.commons.math3.complex.Complex
    Returns a Complex whose value is this * factor.
    multiply(int) - Method in class org.apache.commons.math3.complex.Complex
    Returns a Complex whose value is this * factor, with factor interpreted as a integer number.
    multiply(double) - Method in class org.apache.commons.math3.complex.Complex
    Returns a Complex whose value is this * factor, with factor interpreted as a real number.
    multiply(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
    Returns the Hamilton product of two quaternions.
    multiply(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
    Returns the Hamilton product of the instance by a quaternion.
    multiply(double) - Method in class org.apache.commons.math3.complex.Quaternion
    Multiplies the instance by a scalar.
    multiply(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Multiply this by x.
    multiply(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Multiply this by a single digit x.
    multiply(double) - Method in class org.apache.commons.math3.dfp.Dfp
    '×' operator.
    multiply(int) - Method in interface org.apache.commons.math3.FieldElement
    Compute n × this.
    multiply(T) - Method in interface org.apache.commons.math3.FieldElement
    Compute this × a.
    multiply(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
    Multiplies the value of this fraction by the passed BigInteger, returning the result in reduced form.
    multiply(int) - Method in class org.apache.commons.math3.fraction.BigFraction
    Multiply the value of this fraction by the passed int, returning the result in reduced form.
    multiply(long) - Method in class org.apache.commons.math3.fraction.BigFraction
    Multiply the value of this fraction by the passed long, returning the result in reduced form.
    multiply(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
    Multiplies the value of this fraction by another, returning the result in reduced form.
    multiply(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
    Multiplies the value of this fraction by another, returning the result in reduced form.
    multiply(int) - Method in class org.apache.commons.math3.fraction.Fraction
    Multiply the fraction by an integer.
    multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Postmultiply this matrix by m.
    multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the result of postmultiplying this by m.
    multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Postmultiplying this matrix by m.
    multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Returns the result of postmultiplying this by m.
    multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Postmultiply this matrix by m.
    multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Returns the result of postmultiplying this by m.
    multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the result of postmultiplying this by m.
    multiply(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the result of postmultiplying this by m.
    multiply(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Returns the result of postmultiplying this by m.
    multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Returns the result of postmultiplying this by m.
    multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Postmultiply this matrix by m.
    multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Returns the result of postmultiplying this by m.
    multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Postmultiply this matrix by m.
    multiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the result of postmultiplying this by m.
    multiply(double) - Method in interface org.apache.commons.math3.RealFieldElement
    '×' operator.
    multiply(BigReal) - Method in class org.apache.commons.math3.util.BigReal
    Compute this × a.
    multiply(int) - Method in class org.apache.commons.math3.util.BigReal
    Compute n × this.
    multiply(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Compute this × a.
    multiply(int) - Method in class org.apache.commons.math3.util.Decimal64
    Compute n × this.
    multiply(double) - Method in class org.apache.commons.math3.util.Decimal64
    '×' operator.
    multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Change an entry in the specified row and column.
    multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Multiplies (in place) the specified entry of this matrix by the specified value.
    multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Change an entry in the specified row and column.
    multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Multiplies (in place) the specified entry of this matrix by the specified value.
    multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Change an entry in the specified row and column.
    multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Multiplies (in place) the specified entry of this matrix by the specified value.
    multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Multiplies (in place) the specified entry of this matrix by the specified value.
    multiplyEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Change an entry in the specified row and column.
    multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Multiplies (in place) the specified entry of this matrix by the specified value.
    multiplyEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Multiplies (in place) the specified entry of this matrix by the specified value.
    multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
    Change an entry in the specified row and column.
    multiplyExact(int, int) - Static method in class org.apache.commons.math3.util.FastMath
    Multiply two numbers, detecting overflows.
    multiplyExact(long, long) - Static method in class org.apache.commons.math3.util.FastMath
    Multiply two numbers, detecting overflows.
    multiplyInPlace(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Multiply in place.
    MultiStartMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
    Multi-start optimizer.
    MultiStartMultivariateOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
    Create a multi-start optimizer from a single-start optimizer.
    MultiStartMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
    Deprecated.
    MultiStartMultivariateVectorOptimizer(MultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
    Deprecated.
    Create a multi-start optimizer from a single-start optimizer.
    MultiStartUnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
    Special implementation of the UnivariateOptimizer interface adding multi-start features to an existing optimizer.
    MultiStartUnivariateOptimizer(UnivariateOptimizer, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
    Create a multi-start optimizer from a single-start optimizer.
    MultistepFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode
    This class is the base class for multistep integrators for Ordinary Differential Equations.
    MultistepFieldIntegrator(Field<T>, String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Build a multistep integrator with the given stepsize bounds.
    MultistepFieldIntegrator(Field<T>, String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Build a multistep integrator with the given stepsize bounds.
    MultistepIntegrator - Class in org.apache.commons.math3.ode
    This class is the base class for multistep integrators for Ordinary Differential Equations.
    MultistepIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
    Build a multistep integrator with the given stepsize bounds.
    MultistepIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator
    Build a multistep integrator with the given stepsize bounds.
    MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math3.ode
    Deprecated.
    as of 3.6 this unused interface is deprecated
    MultivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
    Extension of MultivariateFunction representing a multivariate differentiable real function.
    MultivariateDifferentiableMultiStartOptimizer - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    MultivariateDifferentiableMultiStartOptimizer(MultivariateDifferentiableOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableMultiStartOptimizer
    Deprecated.
    Create a multi-start optimizer from a single-start optimizer.
    MultivariateDifferentiableOptimizer - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    MultivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
    Extension of MultivariateVectorFunction representing a multivariate differentiable vectorial function.
    MultivariateDifferentiableVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    MultivariateDifferentiableVectorMultiStartOptimizer(MultivariateDifferentiableVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableVectorMultiStartOptimizer
    Deprecated.
    Create a multi-start optimizer from a single-start optimizer.
    MultivariateDifferentiableVectorOptimizer - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    MultivariateFunction - Interface in org.apache.commons.math3.analysis
    An interface representing a multivariate real function.
    MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
    Adapter for mapping bounded MultivariateFunction to unbounded ones.
    MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
    Simple constructor.
    MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
    Deprecated.
    Simple constructor.
    MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar
    Adapter extending bounded MultivariateFunction to an unbouded domain using a penalty function.
    MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
    Simple constructor.
    MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
    Deprecated.
    Simple constructor.
    MultivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
    Interface representing a univariate real interpolating function.
    MultivariateJacobianFunction - Interface in org.apache.commons.math3.fitting.leastsquares
    A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).
    MultivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
    An interface representing a multivariate matrix function.
    MultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    MultivariateMultiStartOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateMultiStartOptimizer
    Deprecated.
    Create a multi-start optimizer from a single-start optimizer.
    MultivariateNormalDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the multivariate normal (Gaussian) distribution.
    MultivariateNormalDistribution(double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
    Creates a multivariate normal distribution with the given mean vector and covariance matrix.
    MultivariateNormalDistribution(RandomGenerator, double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution
    Creates a multivariate normal distribution with the given mean vector and covariance matrix.
    MultivariateNormalMixtureExpectationMaximization - Class in org.apache.commons.math3.distribution.fitting
    Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions.
    MultivariateNormalMixtureExpectationMaximization(double[][]) - Constructor for class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization
    Creates an object to fit a multivariate normal mixture model to data.
    MultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar
    Base class for a multivariate scalar function optimizer.
    MultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
     
    MultivariateOptimizer - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    MultivariateRealDistribution - Interface in org.apache.commons.math3.distribution
    Base interface for multivariate distributions on the reals.
    MultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
    Computes summary statistics for a stream of n-tuples added using the addValue method.
    MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Construct a MultivariateSummaryStatistics instance
    MultivariateVectorFunction - Interface in org.apache.commons.math3.analysis
    An interface representing a multivariate vectorial function.
    MultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector
    Deprecated.
    MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
    Deprecated.
     
    mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryMutation
    Mutate the given chromosome.
    mutate(Chromosome) - Method in interface org.apache.commons.math3.genetics.MutationPolicy
    Mutate the given chromosome.
    mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKeyMutation
    Mutate the given chromosome.
    MutationPolicy - Interface in org.apache.commons.math3.genetics
    Algorithm used to mutate a chromosome.

    N

    NakagamiDistribution - Class in org.apache.commons.math3.distribution
    This class implements the Nakagami distribution.
    NakagamiDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.NakagamiDistribution
    Build a new instance.
    NakagamiDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.NakagamiDistribution
    Build a new instance.
    NakagamiDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.NakagamiDistribution
    Build a new instance.
    NaN - Static variable in class org.apache.commons.math3.complex.Complex
    A complex number representing "NaN + NaNi"
    NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    A vector with all coordinates set to NaN.
    NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    A vector with all coordinates set to NaN.
    NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    A vector with all coordinates set to NaN.
    NaN - Static variable in class org.apache.commons.math3.geometry.spherical.oned.S1Point
    A vector with all coordinates set to NaN.
    NaN - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    A vector with all coordinates set to NaN.
    NAN - Static variable in class org.apache.commons.math3.util.Decimal64
    The constant value of Double.NaN as a Decimal64.
    nans - Variable in class org.apache.commons.math3.dfp.Dfp
    Indicator for non-finite / non-number values.
    NaNStrategy - Enum in org.apache.commons.math3.stat.ranking
    Strategies for handling NaN values in rank transformations.
    natural(int) - Static method in class org.apache.commons.math3.util.MathArrays
    Returns an array representing the natural number n.
    NaturalRanking - Class in org.apache.commons.math3.stat.ranking
    Ranking based on the natural ordering on doubles.
    NaturalRanking() - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
    Create a NaturalRanking with default strategies for handling ties and NaNs.
    NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
    Create a NaturalRanking with the given TiesStrategy.
    NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
    Create a NaturalRanking with the given NaNStrategy.
    NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
    Create a NaturalRanking with the given NaNStrategy and TiesStrategy.
    NaturalRanking(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
    Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.
    NaturalRanking(NaNStrategy, RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking
    Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
    negate() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Returns the additive inverse of this element.
    negate() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Returns the additive inverse of this element.
    negate() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Negate the instance.
    negate() - Method in class org.apache.commons.math3.complex.Complex
    Returns a Complex whose value is (-this).
    negate() - Method in class org.apache.commons.math3.dfp.Dfp
    Returns a number that is this number with the sign bit reversed.
    negate() - Method in interface org.apache.commons.math3.FieldElement
    Returns the additive inverse of this element.
    negate() - Method in class org.apache.commons.math3.fraction.BigFraction
    Return the additive inverse of this fraction, returning the result in reduced form.
    negate() - Method in class org.apache.commons.math3.fraction.Fraction
    Return the additive inverse of this fraction.
    negate() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get the opposite of the instance.
    negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the opposite of the instance.
    negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the opposite of the instance.
    negate() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get the opposite of the instance.
    negate() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    Get the opposite of the instance.
    negate() - Method in interface org.apache.commons.math3.geometry.Vector
    Get the opposite of the instance.
    negate() - Method in class org.apache.commons.math3.util.BigReal
    Returns the additive inverse of this element.
    negate() - Method in class org.apache.commons.math3.util.Decimal64
    Returns the additive inverse of this element.
    NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    A vector with all coordinates set to negative infinity.
    NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    A vector with all coordinates set to negative infinity.
    NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    A vector with all coordinates set to negative infinity.
    NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
    The constant value of Double.NEGATIVE_INFINITY as a Decimal64.
    negativeOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
    Check if instance is less than or equal to 0.
    NeighbourhoodSizeFunction - Interface in org.apache.commons.math3.ml.neuralnet.sofm
    Provides the network neighbourhood's size as a function of the number of calls already performed during the learning task.
    NeighbourhoodSizeFunctionFactory - Class in org.apache.commons.math3.ml.neuralnet.sofm
    Factory for creating instances of NeighbourhoodSizeFunction.
    NelderMeadSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
    This class implements the Nelder-Mead simplex algorithm.
    NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
    Build a Nelder-Mead simplex with default coefficients.
    NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
    Build a Nelder-Mead simplex with default coefficients.
    NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
    Build a Nelder-Mead simplex with specified coefficients.
    NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
    Build a Nelder-Mead simplex with specified coefficients.
    NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
    Build a Nelder-Mead simplex with default coefficients.
    NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
    Build a Nelder-Mead simplex with specified coefficients.
    NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
    Build a Nelder-Mead simplex with default coefficients.
    NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex
    Build a Nelder-Mead simplex with specified coefficients.
    NelderMeadSimplex - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
    Deprecated.
    Build a Nelder-Mead simplex with default coefficients.
    NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
    Deprecated.
    Build a Nelder-Mead simplex with default coefficients.
    NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
    Deprecated.
    Build a Nelder-Mead simplex with specified coefficients.
    NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
    Deprecated.
    Build a Nelder-Mead simplex with specified coefficients.
    NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
    Deprecated.
    Build a Nelder-Mead simplex with default coefficients.
    NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
    Deprecated.
    Build a Nelder-Mead simplex with specified coefficients.
    NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
    Deprecated.
    Build a Nelder-Mead simplex with default coefficients.
    NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex
    Deprecated.
    Build a Nelder-Mead simplex with specified coefficients.
    Network - Class in org.apache.commons.math3.ml.neuralnet
    Neural network, composed of Neuron instances and the links between them.
    Network(long, int) - Constructor for class org.apache.commons.math3.ml.neuralnet.Network
     
    Network.NeuronIdentifierComparator - Class in org.apache.commons.math3.ml.neuralnet
    Comparator that prescribes an order of the neurons according to the increasing order of their identifier.
    Network.NeuronIdentifierComparator() - Constructor for class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator
     
    Neuron - Class in org.apache.commons.math3.ml.neuralnet
    Describes a neuron element of a neural network.
    NeuronSquareMesh2D - Class in org.apache.commons.math3.ml.neuralnet.twod
    Neural network with the topology of a two-dimensional surface.
    NeuronSquareMesh2D(int, boolean, int, boolean, SquareNeighbourhood, FeatureInitializer[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D
    Creates a two-dimensional network composed of square cells: Each neuron not located on the border of the mesh has four neurons linked to it.
    NeuronSquareMesh2D.HorizontalDirection - Enum in org.apache.commons.math3.ml.neuralnet.twod
    Horizontal (along row) direction.
    NeuronSquareMesh2D.VerticalDirection - Enum in org.apache.commons.math3.ml.neuralnet.twod
    Vertical (along column) direction.
    NeuronString - Class in org.apache.commons.math3.ml.neuralnet.oned
    Neural network with the topology of a one-dimensional line.
    NeuronString(int, boolean, FeatureInitializer[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.oned.NeuronString
    Creates a one-dimensional network: Each neuron not located on the border of the mesh has two neurons linked to it.
    NevilleInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Implements the Neville's Algorithm for interpolation of real univariate functions.
    NevilleInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator
     
    newCovarianceData(double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
    Add the covariance data.
    newDfp() - Method in class org.apache.commons.math3.dfp.DfpField
    Makes a Dfp with a value of 0.
    newDfp(byte) - Method in class org.apache.commons.math3.dfp.DfpField
    Create an instance from a byte value.
    newDfp(int) - Method in class org.apache.commons.math3.dfp.DfpField
    Create an instance from an int value.
    newDfp(long) - Method in class org.apache.commons.math3.dfp.DfpField
    Create an instance from a long value.
    newDfp(double) - Method in class org.apache.commons.math3.dfp.DfpField
    Create an instance from a double value.
    newDfp(Dfp) - Method in class org.apache.commons.math3.dfp.DfpField
    Copy constructor.
    newDfp(String) - Method in class org.apache.commons.math3.dfp.DfpField
    Create a Dfp given a String representation.
    newDfp(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpField
    Creates a Dfp with a non-finite value.
    newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
    Creates a new instance of the same class as this is, with a given arrayRepresentation.
    newInstance() - Method in class org.apache.commons.math3.dfp.Dfp
    Create an instance with a value of 0.
    newInstance(byte) - Method in class org.apache.commons.math3.dfp.Dfp
    Create an instance from a byte value.
    newInstance(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Create an instance from an int value.
    newInstance(long) - Method in class org.apache.commons.math3.dfp.Dfp
    Create an instance from a long value.
    newInstance(double) - Method in class org.apache.commons.math3.dfp.Dfp
    Create an instance from a double value.
    newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Create an instance by copying an existing one.
    newInstance(String) - Method in class org.apache.commons.math3.dfp.Dfp
    Create an instance from a String representation.
    newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.Dfp
    Creates an instance with a non-finite value.
    newInstance() - Method in class org.apache.commons.math3.dfp.DfpDec
    Create an instance with a value of 0.
    newInstance(byte) - Method in class org.apache.commons.math3.dfp.DfpDec
    Create an instance from a byte value.
    newInstance(int) - Method in class org.apache.commons.math3.dfp.DfpDec
    Create an instance from an int value.
    newInstance(long) - Method in class org.apache.commons.math3.dfp.DfpDec
    Create an instance from a long value.
    newInstance(double) - Method in class org.apache.commons.math3.dfp.DfpDec
    Create an instance from a double value.
    newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
    Create an instance by copying an existing one.
    newInstance(String) - Method in class org.apache.commons.math3.dfp.DfpDec
    Create an instance from a String representation.
    newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpDec
    Creates an instance with a non-finite value.
    newMarkers(List<Double>, double) - Static method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
    A creation method to build Markers
    newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
    Loads model x and y sample data from a flat input array, overriding any previous sample.
    newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression
    Replace sample data, overriding any previous sample.
    newSampleData(double[], double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
    Loads model x and y sample data, overriding any previous sample.
    newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
    Loads model x and y sample data from a flat input array, overriding any previous sample.
    NewtonRaphsonSolver - Class in org.apache.commons.math3.analysis.solvers
    Implements Newton's Method for finding zeros of real univariate differentiable functions.
    NewtonRaphsonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
    Construct a solver.
    NewtonRaphsonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
    Construct a solver.
    NewtonSolver - Class in org.apache.commons.math3.analysis.solvers
    Deprecated.
    as of 3.1, replaced by NewtonRaphsonSolver
    NewtonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
    Deprecated.
    Construct a solver.
    NewtonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver
    Deprecated.
    Construct a solver.
    newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
    Loads new x sample data, overriding any previous data.
    newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
    Loads new x sample data, overriding any previous data.
    newYSampleData(double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
    Loads new y sample data, overriding any previous data.
    next() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
    next() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
    next(int) - Method in class org.apache.commons.math3.random.AbstractWell
    Generate next pseudorandom number.
    next(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Generate next pseudorandom number.
    next(int) - Method in class org.apache.commons.math3.random.ISAACRandom
    Generate next pseudorandom number.
    next(int) - Method in class org.apache.commons.math3.random.MersenneTwister
    Generate next pseudorandom number.
    next(int) - Method in class org.apache.commons.math3.random.Well1024a
    Generate next pseudorandom number.
    next(int) - Method in class org.apache.commons.math3.random.Well19937a
    Generate next pseudorandom number.
    next(int) - Method in class org.apache.commons.math3.random.Well19937c
    Generate next pseudorandom number.
    next(int) - Method in class org.apache.commons.math3.random.Well44497a
    Generate next pseudorandom number.
    next(int) - Method in class org.apache.commons.math3.random.Well44497b
    Generate next pseudorandom number.
    next(int) - Method in class org.apache.commons.math3.random.Well512a
    Generate next pseudorandom number.
    next() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    next() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
     
    nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Returns the next number greater than this one in the direction of x.
    nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec
    Returns the next number greater than this one in the direction of x.
    nextAfter(double, double) - Static method in class org.apache.commons.math3.util.FastMath
    Get the next machine representable number after a number, moving in the direction of another number.
    nextAfter(float, double) - Static method in class org.apache.commons.math3.util.FastMath
    Get the next machine representable number after a number, moving in the direction of another number.
    nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the Beta Distribution.
    nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the Beta Distribution.
    nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the Binomial Distribution.
    nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the Binomial Distribution.
    nextBoolean() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
    nextBoolean() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
    nextBoolean() - Method in class org.apache.commons.math3.random.RandomAdaptor
    Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
    nextBoolean() - Method in interface org.apache.commons.math3.random.RandomGenerator
    Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
    nextBoolean() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
    nextBytes(byte[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Generates random bytes and places them into a user-supplied byte array.
    nextBytes(byte[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Generates random bytes and places them into a user-supplied array.
    nextBytes(byte[], int, int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Generates random bytes and places them into a user-supplied array.
    nextBytes(byte[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
    Generates random bytes and places them into a user-supplied byte array.
    nextBytes(byte[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
    Generates random bytes and places them into a user-supplied byte array.
    nextBytes(byte[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Generates random bytes and places them into a user-supplied byte array.
    nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the Cauchy Distribution.
    nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the Cauchy Distribution.
    nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the ChiSquare Distribution.
    nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the ChiSquare Distribution.
    nextDouble() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
    nextDouble() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
    nextDouble() - Method in class org.apache.commons.math3.random.RandomAdaptor
    Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
    nextDouble() - Method in interface org.apache.commons.math3.random.RandomGenerator
    Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
    nextDouble() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
    nextDown(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute next number towards negative infinity.
    nextDown(float) - Static method in class org.apache.commons.math3.util.FastMath
    Compute next number towards negative infinity.
    nextExponential(double) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a random value from the exponential distribution with specified mean.
    nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the exponential distribution with specified mean.
    nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the exponential distribution with specified mean.
    nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the F Distribution.
    nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the F Distribution.
    nextFloat() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
    nextFloat() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
    nextFloat() - Method in class org.apache.commons.math3.random.RandomAdaptor
    Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
    nextFloat() - Method in interface org.apache.commons.math3.random.RandomGenerator
    Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
    nextFloat() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
    nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the Gamma Distribution.
    nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the Gamma Distribution.
    nextGaussian() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
    nextGaussian() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
    nextGaussian() - Method in class org.apache.commons.math3.random.RandomAdaptor
    Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
    nextGaussian(double, double) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
    nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
    nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation.
    nextGaussian() - Method in interface org.apache.commons.math3.random.RandomGenerator
    Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
    nextGaussian() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
    nextGeneration() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
    Start the population for the next generation.
    nextGeneration(Population) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm
    Evolve the given population into the next generation.
    nextGeneration() - Method in interface org.apache.commons.math3.genetics.Population
    Start the population for the next generation.
    nextHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a random string of hex characters of length len.
    nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random string of hex characters of length len.
    nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random string of hex characters of length len.
    nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the Hypergeometric Distribution.
    nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the Hypergeometric Distribution.
    nextInt() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
    nextInt(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    nextInt() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
    nextInt(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    nextInt() - Method in class org.apache.commons.math3.random.RandomAdaptor
    Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
    nextInt(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
    Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    nextInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a uniformly distributed random integer between lower and upper (endpoints included).
    nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a uniformly distributed random integer between lower and upper (endpoints included).
    nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a uniformly distributed random integer between lower and upper (endpoints included).
    nextInt() - Method in interface org.apache.commons.math3.random.RandomGenerator
    Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
    nextInt(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
    Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    nextInt() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
    nextInt(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    nextInversionDeviate(RealDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    use the distribution's sample() method
    nextInversionDeviate(IntegerDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    use the distribution's sample() method
    nextLong() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
    nextLong() - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
    nextLong(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Returns a pseudorandom, uniformly distributed long value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    nextLong() - Method in class org.apache.commons.math3.random.RandomAdaptor
    Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
    nextLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a uniformly distributed random long integer between lower and upper (endpoints included).
    nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a uniformly distributed random long integer between lower and upper (endpoints included).
    nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a uniformly distributed random long integer between lower and upper (endpoints included).
    nextLong() - Method in interface org.apache.commons.math3.random.RandomGenerator
    Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
    nextLong() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
    nextNormalizedDouble() - Method in class org.apache.commons.math3.random.GaussianRandomGenerator
    Generate a random scalar with null mean and unit standard deviation.
    nextNormalizedDouble() - Method in interface org.apache.commons.math3.random.NormalizedRandomGenerator
    Generate a random scalar with null mean and unit standard deviation.
    nextNormalizedDouble() - Method in class org.apache.commons.math3.random.StableRandomGenerator
    Generate a random scalar with zero location and unit scale.
    nextNormalizedDouble() - Method in class org.apache.commons.math3.random.UniformRandomGenerator
    Generate a random scalar with null mean and unit standard deviation.
    nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the Pascal Distribution.
    nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the Pascal Distribution.
    nextPermutation(int, int) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive).
    nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive).
    nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive).
    nextPoisson(double) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a random value from the Poisson distribution with the given mean.
    nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the Poisson distribution with the given mean.
    nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the Poisson distribution with the given mean.
    nextPrime(int) - Static method in class org.apache.commons.math3.primes.Primes
    Return the smallest prime greater than or equal to n.
    nextSample(Collection<?>, int) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Returns an array of k objects selected randomly from the Collection c.
    nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Returns an array of k objects selected randomly from the Collection c.
    nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Returns an array of k objects selected randomly from the Collection c.
    nextSecureHexString(int) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a random string of hex characters from a secure random sequence.
    nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random string of hex characters from a secure random sequence.
    nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random string of hex characters from a secure random sequence.
    nextSecureInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence.
    nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence.
    nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence.
    nextSecureLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a uniformly distributed random long integer between lower and upper (endpoints included) from a secure random sequence.
    nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a uniformly distributed random long integer between lower and upper (endpoints included) from a secure random sequence.
    nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a uniformly distributed random long integer between lower and upper (endpoints included) from a secure random sequence.
    nextT(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the T Distribution.
    nextT(double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the T Distribution.
    nextUniform(double, double) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded).
    nextUniform(double, double, boolean) - Method in interface org.apache.commons.math3.random.RandomData
    Deprecated.
    Generates a uniformly distributed random value from the interval (lower, upper) or the interval [lower, upper).
    nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded).
    nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a uniformly distributed random value from the interval (lower, upper) or the interval [lower, upper).
    nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded).
    nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a uniformly distributed random value from the interval (lower, upper) or the interval [lower, upper).
    nextUp(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute next number towards positive infinity.
    nextUp(float) - Static method in class org.apache.commons.math3.util.FastMath
    Compute next number towards positive infinity.
    nextVector() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator
    Generate a correlated random vector.
    nextVector() - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
    Generate a random vector.
    nextVector() - Method in interface org.apache.commons.math3.random.RandomVectorGenerator
    Generate a random vector.
    nextVector() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
    Generate a random vector.
    nextVector() - Method in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
    Generate an uncorrelated random vector.
    nextVector() - Method in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
    Generate a random vector.
    nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the Weibull Distribution.
    nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the Weibull Distribution.
    nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Generates a random value from the Zipf Distribution.
    nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Generates a random value from the Zipf Distribution.
    NoBracketingException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when function values have the same sign at both ends of an interval.
    NoBracketingException(double, double, double, double) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException
    Construct the exception.
    NoBracketingException(Localizable, double, double, double, double, Object...) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException
    Construct the exception with a specific context.
    NoDataException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when the required data is missing.
    NoDataException() - Constructor for exception org.apache.commons.math3.exception.NoDataException
    Construct the exception.
    NoDataException(Localizable) - Constructor for exception org.apache.commons.math3.exception.NoDataException
    Construct the exception with a specific context.
    NodesSet<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
    Set of BSP tree nodes.
    NodesSet() - Constructor for class org.apache.commons.math3.geometry.partitioning.NodesSet
    Simple constructor.
    NoFeasibleSolutionException - Exception in org.apache.commons.math3.optim.linear
    This class represents exceptions thrown by optimizers when no solution fulfills the constraints.
    NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.NoFeasibleSolutionException
    Simple constructor using a default message.
    NoFeasibleSolutionException - Exception in org.apache.commons.math3.optimization.linear
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.NoFeasibleSolutionException
    Deprecated.
    Simple constructor using a default message.
    NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
    Non-linear conjugate gradient optimizer.
    NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
    Constructor with default tolerances for the line search (1e-8) and preconditioner.
    NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
    NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
    Constructor with default preconditioner.
    NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
    NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, double, double, double, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
     
    NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optimization.general
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    NonLinearConjugateGradientOptimizer(ConjugateGradientFormula) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
    NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
    Deprecated.
    Constructor with default line search solver and preconditioner.
    NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
    Deprecated.
    Constructor with default preconditioner.
    NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
    Deprecated.
     
    NonLinearConjugateGradientOptimizer.BracketingStep - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
    Deprecated.
    As of v3.3, this class is not used anymore. This setting is replaced by the initialBracketingRange argument to the new constructors.
    NonLinearConjugateGradientOptimizer.BracketingStep(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep
    Deprecated.
     
    NonLinearConjugateGradientOptimizer.Formula - Enum in org.apache.commons.math3.optim.nonlinear.scalar.gradient
    Available choices of update formulas for the updating the parameter that is used to compute the successive conjugate search directions.
    NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient
    Default identity preconditioner.
    NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
     
    NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optimization.general
    Deprecated.
    Default identity preconditioner.
    NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
    Deprecated.
     
    NonMonotonicSequenceException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when the a sequence of values is not monotonically increasing or decreasing.
    NonMonotonicSequenceException(Number, Number, int) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException
    Construct the exception.
    NonMonotonicSequenceException(Number, Number, int, MathArrays.OrderDirection, boolean) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException
    Construct the exception.
    NonNegativeConstraint - Class in org.apache.commons.math3.optim.linear
    A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values.
    NonNegativeConstraint(boolean) - Constructor for class org.apache.commons.math3.optim.linear.NonNegativeConstraint
     
    NonPositiveDefiniteMatrixException - Exception in org.apache.commons.math3.linear
    Exception to be thrown when a positive definite matrix is expected.
    NonPositiveDefiniteMatrixException(double, int, double) - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException
    Construct an exception.
    NonPositiveDefiniteOperatorException - Exception in org.apache.commons.math3.linear
    Exception to be thrown when a symmetric, definite positive RealLinearOperator is expected.
    NonPositiveDefiniteOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteOperatorException
    Creates a new instance of this class.
    NonSelfAdjointOperatorException - Exception in org.apache.commons.math3.linear
    Exception to be thrown when a self-adjoint RealLinearOperator is expected.
    NonSelfAdjointOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonSelfAdjointOperatorException
    Creates a new instance of this class.
    NonSquareMatrixException - Exception in org.apache.commons.math3.linear
    Exception to be thrown when a square matrix is expected.
    NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareMatrixException
    Construct an exception from the mismatched dimensions.
    NonSquareOperatorException - Exception in org.apache.commons.math3.linear
    Exception to be thrown when a square linear operator is expected.
    NonSquareOperatorException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareOperatorException
    Construct an exception from the mismatched dimensions.
    NonSymmetricMatrixException - Exception in org.apache.commons.math3.linear
    Exception to be thrown when a symmetric matrix is expected.
    NonSymmetricMatrixException(int, int, double) - Constructor for exception org.apache.commons.math3.linear.NonSymmetricMatrixException
    Construct an exception.
    nordsieck - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Nordsieck matrix of the higher scaled derivatives.
    nordsieck - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
    Nordsieck matrix of the higher scaled derivatives.
    NordsieckStepInterpolator - Class in org.apache.commons.math3.ode.sampling
    This class implements an interpolator for integrators using Nordsieck representation.
    NordsieckStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
    Simple constructor.
    NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
    Copy constructor.
    normalApproximateProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    Calculates the Poisson distribution function using a normal approximation.
    NormalApproximationInterval - Class in org.apache.commons.math3.stat.interval
    Implements the normal approximation method for creating a binomial proportion confidence interval.
    NormalApproximationInterval() - Constructor for class org.apache.commons.math3.stat.interval.NormalApproximationInterval
     
    NormalDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the normal (gaussian) distribution.
    NormalDistribution() - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
    Create a normal distribution with mean equal to zero and standard deviation equal to one.
    NormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
    Create a normal distribution using the given mean and standard deviation.
    NormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
    Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.
    NormalDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
    Creates a normal distribution.
    NormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution
    Creates a normal distribution.
    normalize() - Method in class org.apache.commons.math3.complex.Quaternion
    Computes the normalized quaternion (the versor of the instance).
    normalize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get a normalized vector aligned with the instance.
    normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get a normalized vector aligned with the instance.
    normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get a normalized vector aligned with the instance.
    normalize() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get a normalized vector aligned with the instance.
    normalize() - Method in interface org.apache.commons.math3.geometry.Vector
    Get a normalized vector aligned with the instance.
    normalize(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Normalize (standardize) the sample, so it is has a mean of 0 and a standard deviation of 1.
    normalizeAngle(double, double) - Static method in class org.apache.commons.math3.util.MathUtils
    Normalize an angle in a 2π wide interval around a center value.
    normalizeArray(double[], double) - Static method in class org.apache.commons.math3.util.MathArrays
    Normalizes an array to make it sum to a specified value.
    NormalizedRandomGenerator - Interface in org.apache.commons.math3.random
    This interface represent a normalized random generator for scalars.
    NotANumberException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when a number is not a number.
    NotANumberException() - Constructor for exception org.apache.commons.math3.exception.NotANumberException
    Construct the exception.
    NotARotationMatrixException - Exception in org.apache.commons.math3.geometry.euclidean.threed
    This class represents exceptions thrown while building rotations from matrices.
    NotARotationMatrixException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.NotARotationMatrixException
    Simple constructor.
    NotFiniteNumberException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when a number is not finite.
    NotFiniteNumberException(Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException
    Construct the exception.
    NotFiniteNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException
    Construct the exception with a specific context.
    NotPositiveException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when the argument is negative.
    NotPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException
    Construct the exception.
    NotPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException
    Construct the exception with a specific context.
    NotStrictlyPositiveException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when the argument is not greater than 0.
    NotStrictlyPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException
    Construct the exception.
    NotStrictlyPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException
    Construct the exception with a specific context.
    NPointCrossover<T> - Class in org.apache.commons.math3.genetics
    N-point crossover policy.
    NPointCrossover(int) - Constructor for class org.apache.commons.math3.genetics.NPointCrossover
    Creates a new NPointCrossover policy using the given number of points.
    nthRoot(int) - Method in class org.apache.commons.math3.complex.Complex
    Computes the n-th roots of this complex number.
    NullArgumentException - Exception in org.apache.commons.math3.exception
    All conditions checks that fail due to a null argument must throw this exception.
    NullArgumentException() - Constructor for exception org.apache.commons.math3.exception.NullArgumentException
    Default constructor.
    NullArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.NullArgumentException
     
    NumberIsTooLargeException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when a number is too large.
    NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException
    Construct the exception.
    NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException
    Construct the exception with a specific context.
    NumberIsTooSmallException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when a number is too small.
    NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException
    Construct the exception.
    NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException
    Construct the exception with a specific context.
    NumberTransformer - Interface in org.apache.commons.math3.util
    Subclasses implementing this interface can transform Objects to doubles.
    numVars() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Find the number of variables.

    O

    objective - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    As of 3.1.
    ObjectiveFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar
    Scalar function to be optimized.
    ObjectiveFunction(MultivariateFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction
     
    ObjectiveFunctionGradient - Class in org.apache.commons.math3.optim.nonlinear.scalar
    Gradient of the scalar function to be optimized.
    ObjectiveFunctionGradient(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient
     
    OCTAVE_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils
    A format for RealMatrix objects compatible with octave.
    ODEIntegrator - Interface in org.apache.commons.math3.ode
    This interface defines the common parts shared by integrators for first and second order differential equations.
    OLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression
    Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
    OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
    Create an empty OLSMultipleLinearRegression instance.
    OLSMultipleLinearRegression(double) - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression
    Create an empty OLSMultipleLinearRegression instance, using the given singularity threshold for the QR decomposition.
    ONE - Static variable in class org.apache.commons.math3.complex.Complex
    A complex number representing "1.0 + 0.0i"
    ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "1".
    ONE - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "1".
    ONE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Unit (coordinates: 1).
    ONE - Static variable in class org.apache.commons.math3.util.BigReal
    A big real representing 1.
    ONE - Static variable in class org.apache.commons.math3.util.Decimal64
    The constant value of 1d as a Decimal64.
    ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "1/5".
    ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "1/5".
    ONE_HALF - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "1/2".
    ONE_HALF - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "1/2".
    ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "1/4".
    ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "1/4".
    ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "1/3".
    ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "1/3".
    OnePointCrossover<T> - Class in org.apache.commons.math3.genetics
    One point crossover policy.
    OnePointCrossover() - Constructor for class org.apache.commons.math3.genetics.OnePointCrossover
     
    OneWayAnova - Class in org.apache.commons.math3.stat.inference
    Implements one-way ANOVA (analysis of variance) statistics.
    OneWayAnova() - Constructor for class org.apache.commons.math3.stat.inference.OneWayAnova
    Default constructor.
    oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    OpenIntToDoubleHashMap - Class in org.apache.commons.math3.util
    Open addressed map from int to double.
    OpenIntToDoubleHashMap() - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Build an empty map with default size and using NaN for missing entries.
    OpenIntToDoubleHashMap(double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Build an empty map with default size
    OpenIntToDoubleHashMap(int) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Build an empty map with specified size and using NaN for missing entries.
    OpenIntToDoubleHashMap(int, double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Build an empty map with specified size.
    OpenIntToDoubleHashMap(OpenIntToDoubleHashMap) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Copy constructor.
    OpenIntToDoubleHashMap.Iterator - Class in org.apache.commons.math3.util
    Iterator class for the map.
    OpenIntToFieldHashMap<T extends FieldElement<T>> - Class in org.apache.commons.math3.util
    Open addressed map from int to FieldElement.
    OpenIntToFieldHashMap(Field<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Build an empty map with default size and using zero for missing entries.
    OpenIntToFieldHashMap(Field<T>, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Build an empty map with default size
    OpenIntToFieldHashMap(Field<T>, int) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Build an empty map with specified size and using zero for missing entries.
    OpenIntToFieldHashMap(Field<T>, int, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Build an empty map with specified size.
    OpenIntToFieldHashMap(OpenIntToFieldHashMap<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Copy constructor.
    OpenIntToFieldHashMap.Iterator - Class in org.apache.commons.math3.util
    Iterator class for the map.
    OpenMapRealMatrix - Class in org.apache.commons.math3.linear
    Sparse matrix implementation based on an open addressed map.
    OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix
    Build a sparse matrix with the supplied row and column dimensions.
    OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix
    Build a matrix by copying another one.
    OpenMapRealVector - Class in org.apache.commons.math3.linear
    This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store.
    OpenMapRealVector() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Build a 0-length vector.
    OpenMapRealVector(int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Construct a vector of zeroes.
    OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Construct a vector of zeroes, specifying zero tolerance.
    OpenMapRealVector(OpenMapRealVector, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Build a resized vector, for use with append.
    OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Build a vector with known the sparseness (for advanced use only).
    OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Build a vector with known the sparseness and zero tolerance setting (for advanced use only).
    OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Create from an array.
    OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Create from an array, specifying zero tolerance.
    OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Create from an array.
    OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Create from an array.
    OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Copy constructor.
    OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector
    Generic copy constructor.
    OpenMapRealVector.OpenMapEntry - Class in org.apache.commons.math3.linear
    Implementation of Entry optimized for OpenMap.
    OpenMapRealVector.OpenMapEntry(OpenIntToDoubleHashMap.Iterator) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
    Build an entry from an iterator point to an element.
    OpenMapRealVector.OpenMapSparseIterator - Class in org.apache.commons.math3.linear
    Iterator class to do iteration over just the non-zero elements.
    OpenMapRealVector.OpenMapSparseIterator() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
    Simple constructor.
    operate(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns the result of multiplying this by the vector v.
    operate(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns the result of multiplying this by the vector v.
    operate(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the result of multiplying this by the vector v.
    operate(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the result of multiplying this by the vector x.
    operate(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Returns the result of multiplying this by the vector v.
    operate(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Returns the result of multiplying this by the vector v.
    operate(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Returns the result of multiplying this by the vector v.
    operate(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the result of multiplying this by the vector v.
    operate(double[]) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Returns the result of multiplying this by the vector v.
    operate(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Returns the result of multiplying this by the vector v.
    operate(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Returns the result of multiplying this by the vector v.
    operate(RealVector) - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
    Returns the result of multiplying this by the vector x.
    operate(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
    Returns the result of multiplying this by the vector x.
    operate(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the result of multiplying this by the vector v.
    operate(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the result of multiplying this by the vector v.
    operateTranspose(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator
    Returns the result of multiplying the transpose of this operator by the vector x (optional operation).
    OPERATOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
    Key for the exception context.
    oppositeRelationship() - Method in enum org.apache.commons.math3.optim.linear.Relationship
    Gets the relationship obtained when multiplying all coefficients by -1.
    oppositeRelationship() - Method in enum org.apache.commons.math3.optimization.linear.Relationship
    Deprecated.
    Get the relationship obtained when multiplying all coefficients by -1.
    OptimizationData - Interface in org.apache.commons.math3.optim
    Marker interface.
    OptimizationData - Interface in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    OptimizationProblem<PAIR> - Interface in org.apache.commons.math3.optim
    Common settings for all optimization problems.
    optimize(LeastSquaresProblem) - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
    Solve the non-linear least squares problem.
    optimize(LeastSquaresProblem) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer
    Solve the non-linear least squares problem.
    optimize(LeastSquaresProblem) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
    Solve the non-linear least squares problem.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Stores data and performs the optimization.
    optimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
    Deprecated.
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
    Deprecated.
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
    Deprecated.
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer
    Stores data and performs the optimization.
    optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
    Stores data and performs the optimization.
    optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer
    Deprecated.
    Optimize an objective function.
    optimize(int, FUNC, GoalType, double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateOptimizer
    Deprecated.
    As of 3.1. In 4.0, it will be replaced by the declaration corresponding to this method.
    optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateSimpleBoundsOptimizer
    Deprecated.
    Optimize an objective function.
    optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer
    Deprecated.
    Optimize an objective function.
    optimize(int, FUNC, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateVectorOptimizer
    Deprecated.
    As of 3.1. In 4.0, this will be replaced by the declaration corresponding to this method.
    optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    optimize(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
    Optimize an objective function.
    optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
    Deprecated.
    Optimize an objective function.
    optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer
    Deprecated.
    Optimize an objective function.
    optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    optimize(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Optimize an objective function.
    optimize(int, DifferentiableMultivariateVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    optimize(int, MultivariateDifferentiableVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    optimize(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
    Deprecated.
    Optimize an objective function.
    optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
    Optimizes an objective function.
    optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
    Deprecated.
    Optimizes an objective function.
    optimize(int, UnivariateFunction, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
    Find an optimum in the given interval, start at startValue.
    optimize(int, UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer
    Deprecated.
    Find an optimum in the given interval.
    optimize(int, FUNC, GoalType, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer
    Deprecated.
    Find an optimum in the given interval.
    optimize(int, FUNC, GoalType, double, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer
    Deprecated.
    Find an optimum in the given interval, start at startValue.
    optimize(int, FUNC, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
    Deprecated.
    Find an optimum in the given interval.
    optimize(int, FUNC, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
    Deprecated.
    Find an optimum in the given interval, start at startValue.
    optimizeInternal(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    optimizeInternal(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer
    Deprecated.
    Optimize an objective function.
    optimizeInternal(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    optimizeInternal(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Optimize an objective function.
    optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer
    Deprecated.
    Optimize an objective function.
    optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
    Deprecated.
    Optimize an objective function.
    optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
    optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer
    Deprecated.
    Optimize an objective function.
    optimizeInternal(int, MultivariateDifferentiableVectorFunction, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    As of 3.1. Override is necessary only until this class's generic argument is changed to MultivariateDifferentiableVectorFunction.
    optimizeInternal(int, DifferentiableMultivariateFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer
    Deprecated.
    Optimize an objective function.
    OrderedCrossover<T> - Class in org.apache.commons.math3.genetics
    Order 1 Crossover [OX1] builds offspring from ordered chromosomes by copying a consecutive slice from one parent, and filling up the remaining genes from the other parent as they appear.
    OrderedCrossover() - Constructor for class org.apache.commons.math3.genetics.OrderedCrossover
     
    OrderedTuple - Class in org.apache.commons.math3.geometry.partitioning.utilities
    Deprecated.
    as of 3.4, this class is not used anymore and considered to be out of scope of Apache Commons Math
    OrderedTuple(double...) - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple
    Deprecated.
    Build an ordered T-uple from its components.
    org.apache.commons.math3 - package org.apache.commons.math3
    Common classes used throughout the commons-math library.
    org.apache.commons.math3.analysis - package org.apache.commons.math3.analysis
    Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
    org.apache.commons.math3.analysis.differentiation - package org.apache.commons.math3.analysis.differentiation
    This package holds the main interfaces and basic building block classes dealing with differentiation.
    org.apache.commons.math3.analysis.function - package org.apache.commons.math3.analysis.function
    The function package contains function objects that wrap the methods contained in Math, as well as common mathematical functions such as the gaussian and sinc functions.
    org.apache.commons.math3.analysis.integration - package org.apache.commons.math3.analysis.integration
    Numerical integration (quadrature) algorithms for univariate real functions.
    org.apache.commons.math3.analysis.integration.gauss - package org.apache.commons.math3.analysis.integration.gauss
    Gauss family of quadrature schemes.
    org.apache.commons.math3.analysis.interpolation - package org.apache.commons.math3.analysis.interpolation
    Univariate real functions interpolation algorithms.
    org.apache.commons.math3.analysis.polynomials - package org.apache.commons.math3.analysis.polynomials
    Univariate real polynomials implementations, seen as differentiable univariate real functions.
    org.apache.commons.math3.analysis.solvers - package org.apache.commons.math3.analysis.solvers
    Root finding algorithms, for univariate real functions.
    org.apache.commons.math3.complex - package org.apache.commons.math3.complex
    Complex number type and implementations of complex transcendental functions.
    org.apache.commons.math3.dfp - package org.apache.commons.math3.dfp
    Decimal floating point library for Java
    org.apache.commons.math3.distribution - package org.apache.commons.math3.distribution
    Implementations of common discrete and continuous distributions.
    org.apache.commons.math3.distribution.fitting - package org.apache.commons.math3.distribution.fitting
    Fitting of parameters against distributions.
    org.apache.commons.math3.exception - package org.apache.commons.math3.exception
    Specialized exceptions for algorithms errors.
    org.apache.commons.math3.exception.util - package org.apache.commons.math3.exception.util
    Classes supporting exception localization.
    org.apache.commons.math3.filter - package org.apache.commons.math3.filter
    Implementations of common discrete-time linear filters.
    org.apache.commons.math3.fitting - package org.apache.commons.math3.fitting
    Classes to perform curve fitting.
    org.apache.commons.math3.fitting.leastsquares - package org.apache.commons.math3.fitting.leastsquares
    This package provides algorithms that minimize the residuals between observations and model values.
    org.apache.commons.math3.fraction - package org.apache.commons.math3.fraction
    Fraction number type and fraction number formatting.
    org.apache.commons.math3.genetics - package org.apache.commons.math3.genetics
    This package provides Genetic Algorithms components and implementations.
    org.apache.commons.math3.geometry - package org.apache.commons.math3.geometry
    This package is the top level package for geometry.
    org.apache.commons.math3.geometry.enclosing - package org.apache.commons.math3.geometry.enclosing
    This package provides interfaces and classes related to the smallest enclosing ball problem.
    org.apache.commons.math3.geometry.euclidean.oned - package org.apache.commons.math3.geometry.euclidean.oned
    This package provides basic 1D geometry components.
    org.apache.commons.math3.geometry.euclidean.threed - package org.apache.commons.math3.geometry.euclidean.threed
    This package provides basic 3D geometry components.
    org.apache.commons.math3.geometry.euclidean.twod - package org.apache.commons.math3.geometry.euclidean.twod
    This package provides basic 2D geometry components.
    org.apache.commons.math3.geometry.euclidean.twod.hull - package org.apache.commons.math3.geometry.euclidean.twod.hull
    This package provides algorithms to generate the convex hull for a set of points in an two-dimensional euclidean space.
    org.apache.commons.math3.geometry.hull - package org.apache.commons.math3.geometry.hull
    This package provides interfaces and classes related to the convex hull problem.
    org.apache.commons.math3.geometry.partitioning - package org.apache.commons.math3.geometry.partitioning
    This package provides classes to implement Binary Space Partition trees.
    org.apache.commons.math3.geometry.partitioning.utilities - package org.apache.commons.math3.geometry.partitioning.utilities
    This package provides multidimensional ordering features for partitioning.
    org.apache.commons.math3.geometry.spherical.oned - package org.apache.commons.math3.geometry.spherical.oned
    This package provides basic geometry components on the 1-sphere.
    org.apache.commons.math3.geometry.spherical.twod - package org.apache.commons.math3.geometry.spherical.twod
    This package provides basic geometry components on the 2-sphere.
    org.apache.commons.math3.linear - package org.apache.commons.math3.linear
    Linear algebra support.
    org.apache.commons.math3.ml - package org.apache.commons.math3.ml
    Base package for machine learning algorithms.
    org.apache.commons.math3.ml.clustering - package org.apache.commons.math3.ml.clustering
    Clustering algorithms.
    org.apache.commons.math3.ml.clustering.evaluation - package org.apache.commons.math3.ml.clustering.evaluation
    Cluster evaluation methods.
    org.apache.commons.math3.ml.distance - package org.apache.commons.math3.ml.distance
    Common distance measures.
    org.apache.commons.math3.ml.neuralnet - package org.apache.commons.math3.ml.neuralnet
    Neural networks.
    org.apache.commons.math3.ml.neuralnet.oned - package org.apache.commons.math3.ml.neuralnet.oned
    One-dimensional neural networks.
    org.apache.commons.math3.ml.neuralnet.sofm - package org.apache.commons.math3.ml.neuralnet.sofm
    Self Organizing Feature Map.
    org.apache.commons.math3.ml.neuralnet.sofm.util - package org.apache.commons.math3.ml.neuralnet.sofm.util
    Miscellaneous utilities.
    org.apache.commons.math3.ml.neuralnet.twod - package org.apache.commons.math3.ml.neuralnet.twod
    Two-dimensional neural networks.
    org.apache.commons.math3.ml.neuralnet.twod.util - package org.apache.commons.math3.ml.neuralnet.twod.util
    Utilities to visualize two-dimensional neural networks.
    org.apache.commons.math3.ode - package org.apache.commons.math3.ode
    This package provides classes to solve Ordinary Differential Equations problems.
    org.apache.commons.math3.ode.events - package org.apache.commons.math3.ode.events
    This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.
    org.apache.commons.math3.ode.nonstiff - package org.apache.commons.math3.ode.nonstiff
    This package provides classes to solve non-stiff Ordinary Differential Equations problems.
    org.apache.commons.math3.ode.sampling - package org.apache.commons.math3.ode.sampling
    This package provides classes to handle sampling steps during Ordinary Differential Equations integration.
    org.apache.commons.math3.optim - package org.apache.commons.math3.optim
    Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.
    org.apache.commons.math3.optim.linear - package org.apache.commons.math3.optim.linear
    Optimization algorithms for linear constrained problems.
    org.apache.commons.math3.optim.nonlinear.scalar - package org.apache.commons.math3.optim.nonlinear.scalar
    Algorithms for optimizing a scalar function.
    org.apache.commons.math3.optim.nonlinear.scalar.gradient - package org.apache.commons.math3.optim.nonlinear.scalar.gradient
    This package provides optimization algorithms that require derivatives.
    org.apache.commons.math3.optim.nonlinear.scalar.noderiv - package org.apache.commons.math3.optim.nonlinear.scalar.noderiv
    This package provides optimization algorithms that do not require derivatives.
    org.apache.commons.math3.optim.nonlinear.vector - package org.apache.commons.math3.optim.nonlinear.vector
    Algorithms for optimizing a vector function.
    org.apache.commons.math3.optim.nonlinear.vector.jacobian - package org.apache.commons.math3.optim.nonlinear.vector.jacobian
    This package provides optimization algorithms that require derivatives.
    org.apache.commons.math3.optim.univariate - package org.apache.commons.math3.optim.univariate
    One-dimensional optimization algorithms.
    org.apache.commons.math3.optimization - package org.apache.commons.math3.optimization
    All classes and sub-packages of this package are deprecated.
    org.apache.commons.math3.optimization.direct - package org.apache.commons.math3.optimization.direct
    This package provides optimization algorithms that don't require derivatives.
    org.apache.commons.math3.optimization.fitting - package org.apache.commons.math3.optimization.fitting
    This package provides classes to perform curve fitting.
    org.apache.commons.math3.optimization.general - package org.apache.commons.math3.optimization.general
    This package provides optimization algorithms that require derivatives.
    org.apache.commons.math3.optimization.linear - package org.apache.commons.math3.optimization.linear
    This package provides optimization algorithms for linear constrained problems.
    org.apache.commons.math3.optimization.univariate - package org.apache.commons.math3.optimization.univariate
    Univariate real functions minimum finding algorithms.
    org.apache.commons.math3.primes - package org.apache.commons.math3.primes
    Methods related to prime numbers like primality test, factor decomposition.
    org.apache.commons.math3.random - package org.apache.commons.math3.random
    Random number and random data generators.
    org.apache.commons.math3.special - package org.apache.commons.math3.special
    Implementations of special functions such as Beta and Gamma.
    org.apache.commons.math3.stat - package org.apache.commons.math3.stat
    Data storage, manipulation and summary routines.
    org.apache.commons.math3.stat.clustering - package org.apache.commons.math3.stat.clustering
    All classes and sub-packages of this package are deprecated.
    org.apache.commons.math3.stat.correlation - package org.apache.commons.math3.stat.correlation
    Correlations/Covariance computations.
    org.apache.commons.math3.stat.descriptive - package org.apache.commons.math3.stat.descriptive
    Generic univariate summary statistic objects.
    org.apache.commons.math3.stat.descriptive.moment - package org.apache.commons.math3.stat.descriptive.moment
    Summary statistics based on moments.
    org.apache.commons.math3.stat.descriptive.rank - package org.apache.commons.math3.stat.descriptive.rank
    Summary statistics based on ranks.
    org.apache.commons.math3.stat.descriptive.summary - package org.apache.commons.math3.stat.descriptive.summary
    Other summary statistics.
    org.apache.commons.math3.stat.inference - package org.apache.commons.math3.stat.inference
    Classes providing hypothesis testing.
    org.apache.commons.math3.stat.interval - package org.apache.commons.math3.stat.interval
    Classes providing binomial proportion confidence interval construction.
    org.apache.commons.math3.stat.ranking - package org.apache.commons.math3.stat.ranking
    Classes providing rank transformations.
    org.apache.commons.math3.stat.regression - package org.apache.commons.math3.stat.regression
    Statistical routines involving multivariate data.
    org.apache.commons.math3.transform - package org.apache.commons.math3.transform
    Implementations of transform methods, including Fast Fourier transforms.
    org.apache.commons.math3.util - package org.apache.commons.math3.util
    Convenience routines and common data structures used throughout the commons-math library.
    OrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
    This class represents a 1D oriented hyperplane.
    OrientedPoint(Vector1D, boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Simple constructor.
    OrientedPoint(Vector1D, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Deprecated.
    orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get a vector orthogonal to the instance.
    orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get a vector orthogonal to the instance.
    outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Compute the outer product.
    outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Compute the outer product.
    outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Compute the outer product.
    outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
    Compute the outer product.
    outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Compute the outer product.
    outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Optimized method to compute outer product when both vectors are sparse.
    outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Compute the outer product.
    OutlineExtractor - Class in org.apache.commons.math3.geometry.euclidean.threed
    Extractor for polyhedrons sets outlines.
    OutlineExtractor(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor
    Build an extractor for a specific projection plane.
    OutOfRangeException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when some argument is out of range.
    OutOfRangeException(Number, Number, Number) - Constructor for exception org.apache.commons.math3.exception.OutOfRangeException
    Construct an exception from the mismatched dimensions.
    OutOfRangeException(Localizable, Number, Number, Number) - Constructor for exception org.apache.commons.math3.exception.OutOfRangeException
    Construct an exception from the mismatched dimensions with a specific context information.

    P

    Pair<K,V> - Class in org.apache.commons.math3.util
    Generic pair.
    Pair(K, V) - Constructor for class org.apache.commons.math3.util.Pair
    Create an entry representing a mapping from the specified key to the specified value.
    Pair(Pair<? extends K, ? extends V>) - Constructor for class org.apache.commons.math3.util.Pair
    Create an entry representing the same mapping as the specified entry.
    pairedT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    pairedT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes a paired, 2-sample t-statistic based on the data in the input arrays.
    pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    pairedTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    pairedTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
    Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
    pairedTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.
    Parameterizable - Interface in org.apache.commons.math3.ode
    This interface enables to process any parameterizable object.
    ParameterizedODE - Interface in org.apache.commons.math3.ode
    Interface to compute by finite difference Jacobian matrix for some parameter when computing partial derivatives equations.
    ParameterJacobianProvider - Interface in org.apache.commons.math3.ode
    Interface to compute exactly Jacobian matrix for some parameter when computing partial derivatives equations.
    parameterValidator(ParameterValidator) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the validator of the model parameters.
    ParameterValidator - Interface in org.apache.commons.math3.fitting.leastsquares
    Interface for validating a set of model parameters.
    ParametricUnivariateFunction - Interface in org.apache.commons.math3.analysis
    An interface representing a real function that depends on one independent variable plus some extra parameters.
    ParetoDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the Pareto distribution.
    ParetoDistribution() - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
    Create a Pareto distribution with a scale of 1 and a shape of 1.
    ParetoDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
    Create a Pareto distribution using the specified scale and shape.
    ParetoDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
    Create a Pareto distribution using the specified scale, shape and inverse cumulative distribution accuracy.
    ParetoDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
    Creates a Pareto distribution.
    ParetoDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution
    Creates a Pareto distribution.
    parse(String) - Method in class org.apache.commons.math3.complex.ComplexFormat
    Parses a string to produce a Complex object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.complex.ComplexFormat
    Parses a string to produce a Complex object.
    parse(String) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
    Parses a string to produce a BigFraction object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
    Parses a string to produce a BigFraction object.
    parse(String) - Method in class org.apache.commons.math3.fraction.FractionFormat
    Parses a string to produce a Fraction object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.FractionFormat
    Parses a string to produce a Fraction object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
    Parses a string to produce a BigFraction object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
    Parses a string to produce a Fraction object.
    parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
    Parses a string to produce a Vector object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
    Parses a string to produce a Vector object.
    parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
    Parses a string to produce a Vector3D object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
    Parses a string to produce a Vector3D object.
    parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
    Parses a string to produce a Vector object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
    Parses a string to produce a Vector object.
    parse(String) - Method in class org.apache.commons.math3.geometry.VectorFormat
    Parses a string to produce a Vector object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
    Parses a string to produce a Vector object.
    parse(String) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    Parse a string to produce a RealMatrix object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat
    Parse a string to produce a RealMatrix object.
    parse(String) - Method in class org.apache.commons.math3.linear.RealVectorFormat
    Parse a string to produce a RealVector object.
    parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat
    Parse a string to produce a RealVector object.
    parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
    Parses source until a non-whitespace character is found.
    parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
    Parses source until a non-whitespace character is found.
    parseCoordinates(int, String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat
    Parses a string to produce an array of coordinates.
    parseFixedstring(String, String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
    Parse source for an expected fixed string.
    parseNextBigInteger(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat
    Parses a string to produce a BigInteger.
    parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat
    Parses source until a non-whitespace character is found.
    parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
    Parses source until a non-whitespace character is found.
    parseNumber(String, NumberFormat, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat
    Parses source for a number.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
    Deprecated.
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer
    Deprecated.
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer
    Deprecated.
    Scans the list of (required and optional) optimization data that characterize the problem.
    parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
    Scans the list of (required and optional) optimization data that characterize the problem.
    partialDerivative(int) - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction
    Deprecated.
    Returns the partial derivative of the function with respect to a point coordinate.
    partialDerivativeX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
    Deprecated.
     
    partialDerivativeXX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
    Deprecated.
     
    partialDerivativeXY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
    Deprecated.
     
    partialDerivativeY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
    Deprecated.
     
    partialDerivativeYY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
    Deprecated.
     
    PascalDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the Pascal distribution.
    PascalDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
    Create a Pascal distribution with the given number of successes and probability of success.
    PascalDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution
    Create a Pascal distribution with the given number of successes and probability of success.
    PearsonsCorrelation - Class in org.apache.commons.math3.stat.correlation
    Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.
    PearsonsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Create a PearsonsCorrelation instance without data.
    PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
    PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.
    PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Create a PearsonsCorrelation from a Covariance.
    PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation
    Create a PearsonsCorrelation from a covariance matrix.
    PegasusSolver - Class in org.apache.commons.math3.analysis.solvers
    Implements the Pegasus method for root-finding (approximating a zero of a univariate real function).
    PegasusSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
    Construct a solver with default accuracy (1e-6).
    PegasusSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
    Construct a solver.
    PegasusSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
    Construct a solver.
    PegasusSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver
    Construct a solver.
    pelzGood(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Computes the Pelz-Good approximation for \(P(D_n < d)\) as described in [2] in the class javadoc.
    percentageValue() - Method in class org.apache.commons.math3.fraction.BigFraction
    Gets the fraction percentage as a double.
    percentageValue() - Method in class org.apache.commons.math3.fraction.Fraction
    Gets the fraction percentage as a double.
    Percentile - Class in org.apache.commons.math3.stat.descriptive.rank
    Provides percentile computation.
    Percentile() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Constructs a Percentile with the following defaults.
    Percentile(double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Constructs a Percentile with the specific quantile value and the following default method type: Percentile.EstimationType.LEGACY default NaN strategy: NaNStrategy.REMOVED a Kth Selector : KthSelector
    Percentile(Percentile) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Copy constructor, creates a new Percentile identical to the original
    Percentile(double, Percentile.EstimationType, NaNStrategy, KthSelector) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Constructs a Percentile with the specific quantile value, Percentile.EstimationType, NaNStrategy and KthSelector.
    percentile(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns an estimate of the pth percentile of the values in the values array.
    percentile(double[], int, int, double) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
    Percentile.EstimationType - Enum in org.apache.commons.math3.stat.descriptive.rank
    An enum for various estimation strategies of a percentile referred in wikipedia on quantile with the names of enum matching those of types mentioned in wikipedia.
    performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math3.linear.QRDecomposition
    Perform Householder reflection for a minor A(minor, minor) of A.
    performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math3.linear.RRQRDecomposition
    Perform Householder reflection for a minor A(minor, minor) of A.
    PermutationChromosome<T> - Interface in org.apache.commons.math3.genetics
    Interface indicating that the chromosome represents a permutation of objects.
    PG_SUM_RELATIVE_ERROR - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Convergence criterion for the sums in #pelzGood(double, double, int)}
    PI - Static variable in class org.apache.commons.math3.util.FastMath
    Archimede's constant PI, ratio of circle circumference to diameter.
    PI_SQUARED - Static variable in class org.apache.commons.math3.util.MathUtils
    \(\pi^2\)
    PiecewiseBicubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
    Function that implements the bicubic spline interpolation.
    PiecewiseBicubicSplineInterpolatingFunction(double[], double[], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
     
    PiecewiseBicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Generates a piecewise-bicubic interpolating function.
    PiecewiseBicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolator
     
    pivotIndex(double[], int, int) - Method in class org.apache.commons.math3.util.CentralPivotingStrategy
    Find pivot index of the array so that partition and Kth element selection can be made
    pivotIndex(double[], int, int) - Method in class org.apache.commons.math3.util.MedianOf3PivotingStrategy
    Find pivot index of the array so that partition and Kth element selection can be made
    pivotIndex(double[], int, int) - Method in interface org.apache.commons.math3.util.PivotingStrategyInterface
    Find pivot index of the array so that partition and Kth element selection can be made
    pivotIndex(double[], int, int) - Method in class org.apache.commons.math3.util.RandomPivotingStrategy
    Find pivot index of the array so that partition and Kth element selection can be made
    PivotingStrategyInterface - Interface in org.apache.commons.math3.util
    A strategy to pick a pivoting index of an array for doing partitioning.
    PivotSelectionRule - Enum in org.apache.commons.math3.optim.linear
    Pivot selection rule to the use for a Simplex solver.
    Plane - Class in org.apache.commons.math3.geometry.euclidean.threed
    The class represent planes in a three dimensional space.
    Plane(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Build a plane normal to a given direction and containing the origin.
    Plane(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Build a plane from a point and a normal.
    Plane(Vector3D, Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Build a plane from three points.
    Plane(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Deprecated.
    as of 3.3, replaced with Plane.Plane(Vector3D, double)
    Plane(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Deprecated.
    Plane(Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Deprecated.
    Plane(Plane) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Copy constructor.
    PLUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    First canonical vector (coordinates: 1, 0, 0).
    PLUS_I - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    +I (coordinates: \( \theta = 0, \varphi = \pi/2 \)).
    PLUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Second canonical vector (coordinates: 0, 1, 0).
    PLUS_J - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    +J (coordinates: \( \theta = \pi/2, \varphi = \pi/2 \))).
    PLUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Third canonical vector (coordinates: 0, 0, 1).
    PLUS_K - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point
    +K (coordinates: \( \theta = any angle, \varphi = 0 \)).
    Point<S extends Space> - Interface in org.apache.commons.math3.geometry
    This interface represents a generic geometrical point.
    point - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    As of 3.1.
    pointAt(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Get one point from the line.
    PointValuePair - Class in org.apache.commons.math3.optim
    This class holds a point and the value of an objective function at that point.
    PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optim.PointValuePair
    Builds a point/objective function value pair.
    PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optim.PointValuePair
    Builds a point/objective function value pair.
    PointValuePair - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
    Deprecated.
    Builds a point/objective function value pair.
    PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optimization.PointValuePair
    Deprecated.
    Builds a point/objective function value pair.
    PointVectorValuePair - Class in org.apache.commons.math3.optim
    This class holds a point and the vectorial value of an objective function at that point.
    PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
    Builds a point/objective function value pair.
    PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair
    Build a point/objective function value pair.
    PointVectorValuePair - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
    Deprecated.
    Builds a point/objective function value pair.
    PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair
    Deprecated.
    Build a point/objective function value pair.
    PoissonDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the Poisson distribution.
    PoissonDistribution(double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
    Creates a new Poisson distribution with specified mean.
    PoissonDistribution(double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
    Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
    PoissonDistribution(RandomGenerator, double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
    Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations.
    PoissonDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
    Creates a new Poisson distribution with the specified mean and convergence criterion.
    PoissonDistribution(double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution
    Creates a new Poisson distribution with the specified mean and maximum number of iterations.
    polar2Complex(double, double) - Static method in class org.apache.commons.math3.complex.ComplexUtils
    Creates a complex number from the given polar representation.
    PolygonsSet - Class in org.apache.commons.math3.geometry.euclidean.twod
    This class represents a 2D region: a set of polygons.
    PolygonsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Build a polygons set representing the whole plane.
    PolygonsSet(BSPTree<Euclidean2D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Build a polygons set from a BSP tree.
    PolygonsSet(Collection<SubHyperplane<Euclidean2D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Build a polygons set from a Boundary REPresentation (B-rep).
    PolygonsSet(double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Build a parallellepipedic box.
    PolygonsSet(double, Vector2D...) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Build a polygon from a simple list of vertices.
    PolygonsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Deprecated.
    as of 3.3, replaced with PolygonsSet.PolygonsSet(double)
    PolygonsSet(BSPTree<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Deprecated.
    PolygonsSet(Collection<SubHyperplane<Euclidean2D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    Deprecated.
    PolygonsSet(double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet
    PolyhedronsSet - Class in org.apache.commons.math3.geometry.euclidean.threed
    This class represents a 3D region: a set of polyhedrons.
    PolyhedronsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Build a polyhedrons set representing the whole real line.
    PolyhedronsSet(BSPTree<Euclidean3D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Build a polyhedrons set from a BSP tree.
    PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Build a polyhedrons set from a Boundary REPresentation (B-rep) specified by sub-hyperplanes.
    PolyhedronsSet(List<Vector3D>, List<int[]>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Build a polyhedrons set from a Boundary REPresentation (B-rep) specified by connected vertices.
    PolyhedronsSet(double, double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Build a parallellepipedic box.
    PolyhedronsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Deprecated.
    as of 3.3, replaced with PolyhedronsSet.PolyhedronsSet(double)
    PolyhedronsSet(BSPTree<Euclidean3D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Deprecated.
    PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Deprecated.
    PolyhedronsSet(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    PolynomialCurveFitter - Class in org.apache.commons.math3.fitting
    Fits points to a polynomial function.
    polynomialDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Returns the derivative as a PolynomialFunction.
    PolynomialFitter - Class in org.apache.commons.math3.fitting
    Deprecated.
    As of 3.3. Please use PolynomialCurveFitter and WeightedObservedPoints instead.
    PolynomialFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.PolynomialFitter
    Deprecated.
    Simple constructor.
    PolynomialFitter - Class in org.apache.commons.math3.optimization.fitting
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    PolynomialFitter(int, DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
    Deprecated.
    Since 3.1 (to be removed in 4.0). Please use PolynomialFitter.PolynomialFitter(DifferentiableMultivariateVectorOptimizer) instead.
    PolynomialFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter
    Deprecated.
    Simple constructor.
    PolynomialFunction - Class in org.apache.commons.math3.analysis.polynomials
    Immutable representation of a real polynomial function with real coefficients.
    PolynomialFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Construct a polynomial with the given coefficients.
    PolynomialFunction.Parametric - Class in org.apache.commons.math3.analysis.polynomials
    Dedicated parametric polynomial class.
    PolynomialFunction.Parametric() - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
     
    PolynomialFunctionLagrangeForm - Class in org.apache.commons.math3.analysis.polynomials
    Implements the representation of a real polynomial function in Lagrange Form.
    PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
    Construct a Lagrange polynomial with the given abscissas and function values.
    PolynomialFunctionNewtonForm - Class in org.apache.commons.math3.analysis.polynomials
    Implements the representation of a real polynomial function in Newton Form.
    PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
    Construct a Newton polynomial with the given a[] and c[].
    PolynomialSolver - Interface in org.apache.commons.math3.analysis.solvers
    Interface for (polynomial) root-finding algorithms.
    polynomialSplineDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
    Get the derivative of the polynomial spline function.
    PolynomialSplineFunction - Class in org.apache.commons.math3.analysis.polynomials
    Represents a polynomial spline function.
    PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
    Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.
    PolynomialsUtils - Class in org.apache.commons.math3.analysis.polynomials
    A collection of static methods that operate on or return polynomials.
    Population - Interface in org.apache.commons.math3.genetics
    A collection of chromosomes that facilitates generational evolution.
    populationVariance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the population variance of the entries in the input array, or Double.NaN if the array is empty.
    populationVariance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the population variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    populationVariance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the population variance of the entries in the specified portion of the input array, using the precomputed mean value.
    populationVariance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the population variance of the entries in the input array, using the precomputed mean value.
    POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    A vector with all coordinates set to positive infinity.
    POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    A vector with all coordinates set to positive infinity.
    POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    A vector with all coordinates set to positive infinity.
    POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64
    The constant value of Double.POSITIVE_INFINITY as a Decimal64.
    positiveOrNull() - Method in class org.apache.commons.math3.dfp.Dfp
    Check if instance is greater than or equal to 0.
    pow(double, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute ax where a is a double and x a DerivativeStructure
    pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Power operation.
    pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Integer power operation.
    pow(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Power operation.
    pow(double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute power of a double to a derivative structure.
    pow(double[], int, double, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute power of a derivative structure.
    pow(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute integer power of a derivative structure.
    pow(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute power of a derivative structure.
    pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Power operation.
    pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Integer power operation.
    pow(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Power operation.
    pow(double, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute ax where a is a double and x a SparseGradient
    Pow - Class in org.apache.commons.math3.analysis.function
    Power function.
    Pow() - Constructor for class org.apache.commons.math3.analysis.function.Pow
     
    pow(Complex) - Method in class org.apache.commons.math3.complex.Complex
    Returns of value of this complex number raised to the power of x.
    pow(double) - Method in class org.apache.commons.math3.complex.Complex
    Returns of value of this complex number raised to the power of x.
    pow(double) - Method in class org.apache.commons.math3.dfp.Dfp
    Power operation.
    pow(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Integer power operation.
    pow(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Power operation.
    pow(Dfp, int) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Raises base to the power a by successive squaring.
    pow(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Computes x to the y power.
    pow(int) - Method in class org.apache.commons.math3.fraction.BigFraction
    Returns a BigFraction whose value is (this<sup>exponent</sup>), returning the result in reduced form.
    pow(long) - Method in class org.apache.commons.math3.fraction.BigFraction
    Returns a BigFraction whose value is (thisexponent), returning the result in reduced form.
    pow(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
    Returns a BigFraction whose value is (thisexponent), returning the result in reduced form.
    pow(double) - Method in class org.apache.commons.math3.fraction.BigFraction
    Returns a double whose value is (thisexponent), returning the result in reduced form.
    pow(double) - Method in interface org.apache.commons.math3.RealFieldElement
    Power operation.
    pow(int) - Method in interface org.apache.commons.math3.RealFieldElement
    Integer power operation.
    pow(T) - Method in interface org.apache.commons.math3.RealFieldElement
    Power operation.
    pow(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Raise an int to an int power.
    pow(int, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Deprecated.
    As of 3.3. Please use ArithmeticUtils.pow(int,int) instead.
    pow(long, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Raise a long to an int power.
    pow(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Deprecated.
    As of 3.3. Please use ArithmeticUtils.pow(long,int) instead.
    pow(BigInteger, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Raise a BigInteger to an int power.
    pow(BigInteger, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Raise a BigInteger to a long power.
    pow(BigInteger, BigInteger) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Raise a BigInteger to a BigInteger power.
    pow(double) - Method in class org.apache.commons.math3.util.Decimal64
    Power operation.
    pow(int) - Method in class org.apache.commons.math3.util.Decimal64
    Integer power operation.
    pow(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Power operation.
    pow(double, double) - Static method in class org.apache.commons.math3.util.FastMath
    Power function.
    pow(double, int) - Static method in class org.apache.commons.math3.util.FastMath
    Raise a double to an int power.
    pow(double, long) - Static method in class org.apache.commons.math3.util.FastMath
    Raise a double to a long power.
    PowellOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
    Powell's algorithm.
    PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
    This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
    PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
    This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
    PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
    The parameters control the default convergence checking procedure.
    PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer
    Builds an instance with the default convergence checking procedure.
    PowellOptimizer - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
    Deprecated.
    This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure.
    PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
    Deprecated.
    This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances.
    PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
    Deprecated.
    The parameters control the default convergence checking procedure.
    PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer
    Deprecated.
    Builds an instance with the default convergence checking procedure.
    Power - Class in org.apache.commons.math3.analysis.function
    Power function.
    Power(double) - Constructor for class org.apache.commons.math3.analysis.function.Power
     
    power(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns the result multiplying this with itself p times.
    power(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the result of multiplying this with itself p times.
    power(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Returns the result multiplying this with itself p times.
    power(int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the result of multiplying this with itself p times.
    power10(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Return the specified power of 10.
    power10K(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Get the specified power of 10000.
    Precision - Class in org.apache.commons.math3.util
    Utilities for comparing numbers.
    precondition(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
    Precondition a search direction.
    precondition(double[], double[]) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.gradient.Preconditioner
    Precondition a search direction.
    precondition(double[], double[]) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner
    Deprecated.
    Precondition a search direction.
    precondition(double[], double[]) - Method in interface org.apache.commons.math3.optimization.general.Preconditioner
    Deprecated.
    Precondition a search direction.
    PreconditionedIterativeLinearSolver - Class in org.apache.commons.math3.linear
    This abstract class defines preconditioned iterative solvers.
    PreconditionedIterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
    Creates a new instance of this class, with default iteration manager.
    PreconditionedIterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
    Creates a new instance of this class, with custom iteration manager.
    Preconditioner - Interface in org.apache.commons.math3.optim.nonlinear.scalar.gradient
    This interface represents a preconditioner for differentiable scalar objective function optimizers.
    Preconditioner - Interface in org.apache.commons.math3.optimization.general
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    predict() - Method in class org.apache.commons.math3.filter.KalmanFilter
    Predict the internal state estimation one time step ahead.
    predict(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter
    Predict the internal state estimation one time step ahead.
    predict(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter
    Predict the internal state estimation one time step ahead.
    predict(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Returns the "predicted" y value associated with the supplied x value, based on the data that has been added to the model when this method is activated.
    preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Premultiply this matrix by m.
    preMultiply(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the result of premultiplying this by m.
    preMultiply(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(double[]) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Premultiply this matrix by m.
    preMultiply(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the result of premultiplying this by m.
    preMultiply(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    preMultiply(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the (row) vector result of premultiplying this by the vector v.
    primeFactors(int) - Static method in class org.apache.commons.math3.primes.Primes
    Prime factors decomposition
    Primes - Class in org.apache.commons.math3.primes
    Methods related to prime numbers in the range of int: primality test prime number generation factorization
    probability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
    probability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(int) - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
    probability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1).
    probability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    probability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
    processDataPoint(double) - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers
    Process a data point by moving the marker heights based on estimator.
    ProcessModel - Interface in org.apache.commons.math3.filter
    Defines the process dynamics model for the use with a KalmanFilter.
    Product - Class in org.apache.commons.math3.stat.descriptive.summary
    Returns the product of the available values.
    Product() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
    Create a Product instance
    Product(Product) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product
    Copy constructor, creates a new Product identical to the original
    product(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the product of the entries in the input array, or Double.NaN if the array is empty.
    product(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    project(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Project a point to the hyperplane.
    project(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Project a point to the hyperplane.
    project(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Project a point to the hyperplane.
    project(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
    Project a point to the hyperplane.
    project(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Project a point to the hyperplane.
    project(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Project a point to the hyperplane.
    projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Find the orthogonal projection of this vector onto another vector.
    projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Find the orthogonal projection of this vector onto another vector.
    projection(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
    Find the orthogonal projection of this vector onto another vector.
    projection(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Find the orthogonal projection of this vector onto another vector.
    projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Find the orthogonal projection of this vector onto another vector.
    projectToBoundary(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet
    Project a point on the boundary of the region.
    projectToBoundary(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Project a point on the boundary of the region.
    projectToBoundary(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Project a point on the boundary of the region.
    projectToBoundary(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
    Project a point on the boundary of the region.
    ProperBigFractionFormat - Class in org.apache.commons.math3.fraction
    Formats a BigFraction number in proper format.
    ProperBigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
    Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
    ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
    Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
    ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat
    Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
    ProperFractionFormat - Class in org.apache.commons.math3.fraction
    Formats a Fraction number in proper format.
    ProperFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
    Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
    ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
    Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
    ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat
    Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
    providesResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent
    Returns true if IterativeLinearSolverEvent.getResidual() is supported.
    providesResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent
    Returns true if IterativeLinearSolverEvent.getResidual() is supported.
    pruneAroundConvexCell(Object, Object, Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Prune a tree around a cell.
    PSquarePercentile - Class in org.apache.commons.math3.stat.descriptive.rank
    A StorelessUnivariateStatistic estimating percentiles using the P2 Algorithm as explained by Raj Jain and Imrich Chlamtac in P2 Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations.
    PSquarePercentile(double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
    Constructs a PSquarePercentile with the specific percentile value.
    PSquarePercentile.PSquareMarkers - Interface in org.apache.commons.math3.stat.descriptive.rank
    An interface that encapsulates abstractions of the P-square algorithm markers as is explained in the original works.
    put(int, double) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Put a value associated with a key in the map.
    put(int, T) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Put a value associated with a key in the map.
    putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap
    Sets a Class to Transformer Mapping in the Map.

    Q

    QNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
    Indicator value for quiet NaN.
    QRDecomposition - Class in org.apache.commons.math3.linear
    Calculates the QR-decomposition of a matrix.
    QRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.QRDecomposition
    Calculates the QR-decomposition of the given matrix.
    QRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.QRDecomposition
    Calculates the QR-decomposition of the given matrix.
    quantile() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
    Returns the quantile estimated by this statistic in the range [0.0-1.0]
    QuantizationError - Class in org.apache.commons.math3.ml.neuralnet.twod.util
    Computes the quantization error histogram.
    QuantizationError(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.QuantizationError
     
    quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory
    Creates an sigmoid-like LearningFactorFunction function.
    quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory
    Creates an sigmoid-like NeighbourhoodSizeFunction function.
    QuasiSigmoidDecayFunction - Class in org.apache.commons.math3.ml.neuralnet.sofm.util
    Decay function whose shape is similar to a sigmoid.
    QuasiSigmoidDecayFunction(double, double, long) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction
    Creates an instance.
    Quaternion - Class in org.apache.commons.math3.complex
    This class implements quaternions (Hamilton's hypercomplex numbers).
    Quaternion(double, double, double, double) - Constructor for class org.apache.commons.math3.complex.Quaternion
    Builds a quaternion from its components.
    Quaternion(double, double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion
    Builds a quaternion from scalar and vector parts.
    Quaternion(double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion
    Builds a pure quaternion from a vector (assuming that the scalar part is zero).

    R

    RADIX - Static variable in class org.apache.commons.math3.dfp.Dfp
    The radix, or base of this system.
    random - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
    RNG instance used to generate samples from the distribution.
    random - Variable in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
    RNG instance used to generate samples from the distribution.
    random - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
    RNG instance used to generate samples from the distribution.
    random - Variable in class org.apache.commons.math3.distribution.EnumeratedDistribution
    RNG instance used to generate samples from the distribution.
    random() - Static method in class org.apache.commons.math3.util.FastMath
    Returns a pseudo-random number between 0.0 and 1.0.
    RandomAdaptor - Class in org.apache.commons.math3.random
    Extension of java.util.Random wrapping a RandomGenerator.
    RandomAdaptor(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomAdaptor
    Construct a RandomAdaptor wrapping the supplied RandomGenerator.
    randomBinaryRepresentation(int) - Static method in class org.apache.commons.math3.genetics.BinaryChromosome
    Returns a representation of a random binary array of length length.
    randomData - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
    Deprecated.
    As of 3.1, to be removed in 4.0. Please use the AbstractIntegerDistribution.random instance variable instead.
    randomData - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
    Deprecated.
    As of 3.1, to be removed in 4.0. Please use the AbstractRealDistribution.random instance variable instead.
    randomData - Variable in class org.apache.commons.math3.random.EmpiricalDistribution
    RandomDataGenerator instance to use in repeated calls to getNext()
    RandomData - Interface in org.apache.commons.math3.random
    Deprecated.
    to be removed in 4.0. Use RandomDataGenerator directly
    RandomDataGenerator - Class in org.apache.commons.math3.random
    Implements the RandomData interface using a RandomGenerator instance to generate non-secure data and a SecureRandom instance to provide data for the nextSecureXxx methods.
    RandomDataGenerator() - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
    Construct a RandomDataGenerator, using a default random generator as the source of randomness.
    RandomDataGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataGenerator
    Construct a RandomDataGenerator using the supplied RandomGenerator as the source of (non-secure) random data.
    RandomDataImpl - Class in org.apache.commons.math3.random
    Deprecated.
    to be removed in 4.0. Use RandomDataGenerator instead
    RandomDataImpl() - Constructor for class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Construct a RandomDataImpl, using a default random generator as the source of randomness.
    RandomDataImpl(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Construct a RandomDataImpl using the supplied RandomGenerator as the source of (non-secure) random data.
    RandomGenerator - Interface in org.apache.commons.math3.random
    Interface extracted from java.util.Random.
    RandomGeneratorFactory - Class in org.apache.commons.math3.random
    Utilities for creating RandomGenerator instances.
    randomize(RealDistribution, FeatureInitializer) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
    Adds some amount of random data to the given initializer.
    RandomKey<T> - Class in org.apache.commons.math3.genetics
    Random Key chromosome is used for permutation representation.
    RandomKey(List<Double>) - Constructor for class org.apache.commons.math3.genetics.RandomKey
    Constructor.
    RandomKey(Double[]) - Constructor for class org.apache.commons.math3.genetics.RandomKey
    Constructor.
    RandomKeyMutation - Class in org.apache.commons.math3.genetics
    Mutation operator for RandomKeys.
    RandomKeyMutation() - Constructor for class org.apache.commons.math3.genetics.RandomKeyMutation
     
    randomPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey
    Generates a representation corresponding to a random permutation of length l which can be passed to the RandomKey constructor.
    RandomPivotingStrategy - Class in org.apache.commons.math3.util
    A strategy of selecting random index between begin and end indices.
    RandomPivotingStrategy(RandomGenerator) - Constructor for class org.apache.commons.math3.util.RandomPivotingStrategy
    Simple constructor.
    RandomVectorGenerator - Interface in org.apache.commons.math3.random
    This interface represents a random generator for whole vectors.
    range(int, int) - Static method in class org.apache.commons.math3.util.IntegerSequence
    Creates a sequence {@code [start ..
    range(int, int, int) - Static method in class org.apache.commons.math3.util.IntegerSequence
    Creates a sequence \( a_i, i < 0 <= n \) where \( a_i = start + i * step \) and \( n \) is such that \( a_n <= max \) and \( a_{n+1} > max \).
    rank(double[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking
    Rank data using the natural ordering on Doubles, with NaN values handled according to nanStrategy and ties resolved using tiesStrategy.
    rank(double[]) - Method in interface org.apache.commons.math3.stat.ranking.RankingAlgorithm
    Performs a rank transformation on the input data, returning an array of ranks.
    RankingAlgorithm - Interface in org.apache.commons.math3.stat.ranking
    Interface representing a rank transformation.
    readBaseExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Read the base state of the instance.
    readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
    readResolve() - Method in class org.apache.commons.math3.complex.Complex
    Resolve the transient fields in a deserialized Complex Object.
    RealDistribution - Interface in org.apache.commons.math3.distribution
    Base interface for distributions on the reals.
    RealFieldElement<T> - Interface in org.apache.commons.math3
    Interface representing a real field.
    RealFieldUnivariateFunction<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.analysis
    An interface representing a univariate real function.
    RealLinearOperator - Class in org.apache.commons.math3.linear
    This class defines a linear operator operating on real (double) vector spaces.
    RealLinearOperator() - Constructor for class org.apache.commons.math3.linear.RealLinearOperator
     
    RealMatrix - Interface in org.apache.commons.math3.linear
    Interface defining a real-valued matrix with basic algebraic operations.
    RealMatrixChangingVisitor - Interface in org.apache.commons.math3.linear
    Interface defining a visitor for matrix entries.
    RealMatrixFormat - Class in org.apache.commons.math3.linear
    Formats a nxm matrix in components list format "{{a00,a01, ..., a0m-1},{a10, a11, ..., a1m-1},{...},{ an-10, an-11, ..., an-1m-1}}".
    RealMatrixFormat() - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
    Create an instance with default settings.
    RealMatrixFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
    Create an instance with a custom number format for components.
    RealMatrixFormat(String, String, String, String, String, String) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
    Create an instance with custom prefix, suffix and separator.
    RealMatrixFormat(String, String, String, String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat
    Create an instance with custom prefix, suffix, separator and format for components.
    RealMatrixPreservingVisitor - Interface in org.apache.commons.math3.linear
    Interface defining a visitor for matrix entries.
    RealTransformer - Interface in org.apache.commons.math3.transform
    Interface for one-dimensional data sets transformations producing real results.
    RealVector - Class in org.apache.commons.math3.linear
    Class defining a real-valued vector with basic algebraic operations.
    RealVector() - Constructor for class org.apache.commons.math3.linear.RealVector
     
    RealVector.Entry - Class in org.apache.commons.math3.linear
    An entry in the vector.
    RealVector.Entry() - Constructor for class org.apache.commons.math3.linear.RealVector.Entry
    Simple constructor.
    RealVector.SparseEntryIterator - Class in org.apache.commons.math3.linear
    This class should rarely be used, but is here to provide a default implementation of sparseIterator(), which is implemented by walking over the entries, skipping those that are zero.
    RealVector.SparseEntryIterator() - Constructor for class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
    Simple constructor.
    RealVectorChangingVisitor - Interface in org.apache.commons.math3.linear
    This interface defines a visitor for the entries of a vector.
    RealVectorFormat - Class in org.apache.commons.math3.linear
    Formats a vector in components list format "{v0; v1; ...; vk-1}".
    RealVectorFormat() - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
    Create an instance with default settings.
    RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
    Create an instance with a custom number format for components.
    RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
    Create an instance with custom prefix, suffix and separator.
    RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat
    Create an instance with custom prefix, suffix, separator and format for components.
    RealVectorPreservingVisitor - Interface in org.apache.commons.math3.linear
    This interface defines a visitor for the entries of a vector.
    reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Returns the multiplicative inverse of this element.
    reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Returns the multiplicative inverse of this element.
    reciprocal() - Method in class org.apache.commons.math3.complex.Complex
    Returns the multiplicative inverse of this element.
    reciprocal() - Method in class org.apache.commons.math3.dfp.Dfp
    Returns the multiplicative inverse of this element.
    reciprocal() - Method in interface org.apache.commons.math3.FieldElement
    Returns the multiplicative inverse of this element.
    reciprocal() - Method in class org.apache.commons.math3.fraction.BigFraction
    Return the multiplicative inverse of this fraction.
    reciprocal() - Method in class org.apache.commons.math3.fraction.Fraction
    Return the multiplicative inverse of this fraction.
    reciprocal() - Method in interface org.apache.commons.math3.RealFieldElement
    Returns the multiplicative inverse of this element.
    reciprocal() - Method in class org.apache.commons.math3.util.BigReal
    Returns the multiplicative inverse of this element.
    reciprocal() - Method in class org.apache.commons.math3.util.Decimal64
    Returns the multiplicative inverse of this element.
    RectangularCholeskyDecomposition - Class in org.apache.commons.math3.linear
    Calculates the rectangular Cholesky decomposition of a matrix.
    RectangularCholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
    Decompose a symmetric positive semidefinite matrix.
    RectangularCholeskyDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition
    Decompose a symmetric positive semidefinite matrix.
    reduce() - Method in class org.apache.commons.math3.fraction.BigFraction
    Reduce this BigFraction to its lowest terms.
    reduce(double, double, double) - Static method in class org.apache.commons.math3.util.MathUtils
    Reduce |a - offset| to the primary interval [0, |period|).
    reducePoints(Collection<Vector2D>) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AklToussaintHeuristic
    Returns a point set that is reduced by all points for which it is safe to assume that they are not part of the convex hull.
    Region<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
    This interface represents a region of a space as a partition.
    Region.Location - Enum in org.apache.commons.math3.geometry.partitioning
    Enumerate for the location of a point with respect to the region.
    RegionFactory<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning
    This class is a factory for Region.
    RegionFactory() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory
    Simple constructor.
    registerVariationalEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
    Register the variational equations for the Jacobians matrices to the expandable set.
    regress() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    Conducts a regression on the data in the model, using all regressors.
    regress(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    Conducts a regression on the data in the model, using a subset of regressors.
    regress(int[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression
    Conducts a regression on the data in the model, using regressors in array Calling this method will change the internal order of the regressors and care is required in interpreting the hatmatrix.
    regress() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Performs a regression on data present in buffers and outputs a RegressionResults object.
    regress(int[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
    regress() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
    Performs a regression on data present in buffers and outputs a RegressionResults object
    regress(int[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression
    Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object
    RegressionResults - Class in org.apache.commons.math3.stat.regression
    Results of a Multiple Linear Regression model fit.
    RegressionResults(double[], double[][], boolean, long, int, double, double, double, boolean, boolean) - Constructor for class org.apache.commons.math3.stat.regression.RegressionResults
    Constructor for Regression Results.
    RegulaFalsiSolver - Class in org.apache.commons.math3.analysis.solvers
    Implements the Regula Falsi or False position method for root-finding (approximating a zero of a univariate real function).
    RegulaFalsiSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
    Construct a solver with default accuracy (1e-6).
    RegulaFalsiSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
    Construct a solver.
    RegulaFalsiSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
    Construct a solver.
    RegulaFalsiSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver
    Construct a solver.
    regularizedBeta(double, double, double) - Static method in class org.apache.commons.math3.special.Beta
    Returns the regularized beta function I(x, a, b).
    regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math3.special.Beta
    Returns the regularized beta function I(x, a, b).
    regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
    Returns the regularized beta function I(x, a, b).
    regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta
    Returns the regularized beta function I(x, a, b).
    regularizedGammaP(double, double) - Static method in class org.apache.commons.math3.special.Gamma
    Returns the regularized gamma function P(a, x).
    regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
    Returns the regularized gamma function P(a, x).
    regularizedGammaQ(double, double) - Static method in class org.apache.commons.math3.special.Gamma
    Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
    regularizedGammaQ(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma
    Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
    reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Reinitialize the instance
    reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
    Reinitialize the instance.
    reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
    Reinitialize the instance.
    reinitializeBegin(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState
    Reinitialize the beginning of the step.
    reinitializeBegin(FieldStepInterpolator<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState
    Reinitialize the beginning of the step.
    Relationship - Enum in org.apache.commons.math3.optim.linear
    Types of relationships between two cells in a Solver LinearConstraint.
    Relationship - Enum in org.apache.commons.math3.optimization.linear
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    IEEE remainder operator.
    remainder(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    IEEE remainder operator.
    remainder(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Perform remainder of two derivative structures.
    remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    IEEE remainder operator.
    remainder(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    IEEE remainder operator.
    remainder(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Returns the IEEE remainder.
    remainder(double) - Method in class org.apache.commons.math3.dfp.Dfp
    IEEE remainder operator.
    remainder(double) - Method in interface org.apache.commons.math3.RealFieldElement
    IEEE remainder operator.
    remainder(T) - Method in interface org.apache.commons.math3.RealFieldElement
    IEEE remainder operator.
    remainder(double) - Method in class org.apache.commons.math3.util.Decimal64
    IEEE remainder operator.
    remainder(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    IEEE remainder operator.
    remove() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator
    remove() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator
    remove() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Not applicable.
    remove() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator
     
    remove(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Remove the value associated with a key.
    remove(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Remove the value associated with a key.
    REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Status indicator for removed table entries.
    REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Status indicator for removed table entries.
    removeData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Removes the observation (x,y) from the regression data set.
    removeData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression
    Removes observations represented by the elements in data.
    removeIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager
    Removes the specified iteration listener from the list of listeners currently attached to this object.
    removeMostRecentValue() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Removes the most recent value from the dataset.
    removeTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap
    Removes a Class to Transformer Mapping in the Map.
    replaceMostRecentValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Replaces the most recently stored value with the given value.
    replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Replace the worst point of the simplex by a new point.
    replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Replace the worst point of the simplex by a new point.
    REPLAY_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
    Replay data from valuesFilePath.
    representableDelta(double, double) - Static method in class org.apache.commons.math3.util.Precision
    Computes a number delta close to originalDelta with the property that
    rescale(T) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Rescale the instance.
    rescale(double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
    Rescale the instance.
    reSeed(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Reseeds the random number generator used by EmpiricalDistribution.getNextValue().
    reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Reseeds the random number generator with the supplied seed.
    reSeed() - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Reseeds the random number generator with System.currentTimeMillis() + System.identityHashCode(this)).
    reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Reseeds the random number generator with the supplied seed.
    reSeed() - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Reseeds the random number generator with System.currentTimeMillis() + System.identityHashCode(this)).
    reSeed(long) - Method in class org.apache.commons.math3.random.ValueServer
    Reseeds the random data generator.
    reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
    Reseed the random generator used to generate samples.
    reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
    Reseeds the random generator used to generate samples.
    reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
    Reseed the random generator used to generate samples.
    reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Override with no-op (there is no generator).
    reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
    Reseed the random generator used to generate samples.
    reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    Reseed the random generator used to generate samples.
    reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
    Reseeds the random generator used to generate samples.
    reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
    Reseeds the random generator used to generate samples.
    reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Reseed the random generator used to generate samples.
    reseedRandomGenerator(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution
    Reseed the random generator used to generate samples.
    reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Reseeds the secure random number generator with the current time in milliseconds.
    reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Reseeds the secure random number generator with the supplied seed.
    reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Reseeds the secure random number generator with the current time in milliseconds.
    reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Reseeds the secure random number generator with the supplied seed.
    reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Reset the instance as if built from two points.
    reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Reset the instance as if built from a point and a normal.
    reset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Reset the instance from another one.
    reset(Vector2D, Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Reset the instance as if built from two points.
    reset(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Reset the instance as if built from a line and an angle.
    reset(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Reset the instance as if built from a pole.
    reset(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
    Let the event handler reset the state if it wants.
    reset(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState
    Let the event handler reset the state if it wants.
    resetCount() - Method in class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Resets the counter to 0.
    resetInternalState() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Reset internal state to dummy values.
    resetInternalState() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Reset internal state to dummy values.
    resetIterationCount() - Method in class org.apache.commons.math3.util.IterationManager
    Sets the iteration count to 0.
    resetOccurred() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Check if a reset occurred while last step was accepted.
    resetOccurred - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
    Indicator that a state or derivative reset was triggered by some event.
    resetReplayFile() - Method in class org.apache.commons.math3.random.ValueServer
    Resets REPLAY_MODE file pointer to the beginning of the valuesFileURL.
    resetState(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventFilter
    Reset the state prior to continue the integration.
    resetState(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler
    Reset the state prior to continue the integration.
    resetState(FieldODEStateAndDerivative<T>) - Method in interface org.apache.commons.math3.ode.events.FieldEventHandler
    Reset the state prior to continue the integration.
    ResizableDoubleArray - Class in org.apache.commons.math3.util
    A variable length DoubleArray implementation that automatically handles expanding and contracting its internal storage array as elements are added and removed.
    ResizableDoubleArray() - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
    Creates an instance with default properties.
    ResizableDoubleArray(int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
    Creates an instance with the specified initial capacity.
    ResizableDoubleArray(double[]) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
    Creates an instance from an existing double[] with the initial capacity and numElements corresponding to the size of the supplied double[] array.
    ResizableDoubleArray(int, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    ResizableDoubleArray(int, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
    Creates an instance with the specified initial capacity and expansion factor.
    ResizableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    ResizableDoubleArray(int, double, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
    Creates an instance with the specified initial capacity, expansion factor, and contraction criteria.
    ResizableDoubleArray(int, float, float, int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
    ResizableDoubleArray(int, double, double, ResizableDoubleArray.ExpansionMode, double...) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
    Creates an instance with the specified properties.
    ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray
    Copy constructor.
    ResizableDoubleArray.ExpansionMode - Enum in org.apache.commons.math3.util
    Specification of expansion algorithm.
    restrictStep(FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator
    Create a new restricted version of the instance.
    restrictToNonNegative() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
     
    reunite(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Compute the union of the instance and another sub-hyperplane.
    reunite(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
    Compute the union of the instance and another sub-hyperplane.
    revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Revert a rotation.
    revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Get a line with reversed direction.
    revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Revert a rotation.
    revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Revert the instance.
    revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Revert the plane.
    revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Revert the instance.
    revertSelf() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Revert the instance.
    RiddersSolver - Class in org.apache.commons.math3.analysis.solvers
    Implements the Ridders' Method for root finding of real univariate functions.
    RiddersSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
    Construct a solver with default accuracy (1e-6).
    RiddersSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
    Construct a solver.
    RiddersSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver
    Construct a solver.
    rint() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
    rint() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
    Rint - Class in org.apache.commons.math3.analysis.function
    rint function.
    Rint() - Constructor for class org.apache.commons.math3.analysis.function.Rint
     
    rint() - Method in class org.apache.commons.math3.dfp.Dfp
    Round to nearest integer using the round-half-even method.
    rint() - Method in interface org.apache.commons.math3.RealFieldElement
    Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
    rint() - Method in class org.apache.commons.math3.util.Decimal64
    Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers.
    rint(double) - Static method in class org.apache.commons.math3.util.FastMath
    Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers.
    rjBesl(double, double, int) - Static method in class org.apache.commons.math3.special.BesselJ
    Calculates Bessel functions \(J_{n+alpha}(x)\) for non-negative argument x, and non-negative order n + alpha.
    ROMBERG_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.RombergIntegrator
    Maximal number of iterations for Romberg.
    RombergIntegrator - Class in org.apache.commons.math3.analysis.integration
    Implements the Romberg Algorithm for integration of real univariate functions.
    RombergIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
    Build a Romberg integrator with given accuracies and iterations counts.
    RombergIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
    Build a Romberg integrator with given iteration counts.
    RombergIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator
    Construct a Romberg integrator with default settings (max iteration count set to RombergIntegrator.ROMBERG_MAX_ITERATIONS_COUNT)
    rootLogLikelihoodRatio(long, long, long, long) - Method in class org.apache.commons.math3.stat.inference.GTest
    Calculates the root log-likelihood ratio for 2 state Datasets.
    rootLogLikelihoodRatio(long, long, long, long) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Nth root.
    rootN(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute nth root of a derivative structure.
    rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Nth root.
    rootN(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Nth root.
    rootN(int) - Method in interface org.apache.commons.math3.RealFieldElement
    Nth root.
    rootN(int) - Method in class org.apache.commons.math3.util.Decimal64
    Nth root.
    RootsOfUnity - Class in org.apache.commons.math3.complex
    A helper class for the computation and caching of the n-th roots of unity.
    RootsOfUnity() - Constructor for class org.apache.commons.math3.complex.RootsOfUnity
    Build an engine for computing the n-th roots of unity.
    rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Rotate the plane around the specified point.
    rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Rotate the region around the specified point.
    Rotation - Class in org.apache.commons.math3.geometry.euclidean.threed
    This class implements rotations in a three-dimensional space.
    Rotation(double, double, double, double, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Build a rotation from the quaternion coordinates.
    Rotation(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Deprecated.
    Rotation(Vector3D, double, RotationConvention) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Build a rotation from an axis and an angle.
    Rotation(double[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Build a rotation from a 3X3 matrix.
    Rotation(Vector3D, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Build the rotation that transforms a pair of vectors into another pair.
    Rotation(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Build one of the rotations that transform one vector into another one.
    Rotation(RotationOrder, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Rotation(RotationOrder, RotationConvention, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation
    Build a rotation from three Cardan or Euler elementary rotations.
    RotationConvention - Enum in org.apache.commons.math3.geometry.euclidean.threed
    This enumerates is used to differentiate the semantics of a rotation.
    RotationOrder - Class in org.apache.commons.math3.geometry.euclidean.threed
    This class is a utility representing a rotation order specification for Cardan or Euler angles specification.
    round() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Get the closest long to instance value.
    round() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Get the closest long to instance value.
    round(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Round this given the next digit n using the current rounding mode.
    round() - Method in class org.apache.commons.math3.dfp.Dfp
    Get the closest long to instance value.
    round(int) - Method in class org.apache.commons.math3.dfp.DfpDec
    Round this given the next digit n using the current rounding mode.
    round() - Method in interface org.apache.commons.math3.RealFieldElement
    Get the closest long to instance value.
    round() - Method in class org.apache.commons.math3.util.Decimal64
    Get the closest long to instance value.
    round(double) - Static method in class org.apache.commons.math3.util.FastMath
    Get the closest long to x.
    round(float) - Static method in class org.apache.commons.math3.util.FastMath
    Get the closest int to x.
    round(double, int) - Static method in class org.apache.commons.math3.util.Precision
    Rounds the given value to the specified number of decimal places.
    round(double, int, int) - Static method in class org.apache.commons.math3.util.Precision
    Rounds the given value to the specified number of decimal places.
    round(float, int) - Static method in class org.apache.commons.math3.util.Precision
    Rounds the given value to the specified number of decimal places.
    round(float, int, int) - Static method in class org.apache.commons.math3.util.Precision
    Rounds the given value to the specified number of decimal places.
    rows - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    As of 3.1.
    RRQRDecomposition - Class in org.apache.commons.math3.linear
    Calculates the rank-revealing QR-decomposition of a matrix, with column pivoting.
    RRQRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition
    Calculates the QR-decomposition of the given matrix.
    RRQRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition
    Calculates the QR-decomposition of the given matrix.
    run() - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask
    RungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
    RungeKuttaFieldIntegrator(Field<T>, String, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
    Simple constructor.
    RungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
    RungeKuttaIntegrator(String, double[], double[][], double[], RungeKuttaStepInterpolator, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
    Simple constructor.

    S

    S1Point - Class in org.apache.commons.math3.geometry.spherical.oned
    This class represents a point on the 1-sphere.
    S1Point(double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.S1Point
    Simple constructor.
    S2Point - Class in org.apache.commons.math3.geometry.spherical.twod
    This class represents a point on the 2-sphere.
    S2Point(double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point
    Simple constructor.
    S2Point(Vector3D) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point
    Simple constructor.
    SAFE_MIN - Static variable in class org.apache.commons.math3.util.Precision
    Safe minimum, such that 1 / SAFE_MIN does not overflow.
    safeNorm(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Returns the Cartesian norm (2-norm), handling both overflow and underflow.
    sameOrientationAs(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Check if the instance has the same orientation as another hyperplane.
    sameOrientationAs(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Check if the instance has the same orientation as another hyperplane.
    sameOrientationAs(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Check if the instance has the same orientation as another hyperplane.
    sameOrientationAs(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
    Check if the instance has the same orientation as another hyperplane.
    sameOrientationAs(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Check if the instance has the same orientation as another hyperplane.
    sameOrientationAs(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Check if the instance has the same orientation as another hyperplane.
    sample(UnivariateFunction, double, double, int) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Samples the specified univariate real function on the specified interval.
    sample() - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
    Generate a random value sampled from this distribution.
    sample(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
    Generate a random sample from the distribution.
    sample() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
    Generates a random value vector sampled from this distribution.
    sample(int) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution
    Generates a list of a random value vectors from the distribution.
    sample() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
    Generate a random value sampled from this distribution.
    sample(int) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution
    Generate a random sample from the distribution.
    sample() - Method in class org.apache.commons.math3.distribution.BetaDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
    Generate a random value sampled from this distribution.
    sample(int) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
    Generate a random sample from the distribution.
    sample(int, T[]) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution
    Generate a random sample from the distribution.
    sample() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.GammaDistribution
    This implementation uses the following algorithms:
    sample() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    Generate a random value sampled from this distribution.
    sample(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution
    Generate a random sample from the distribution.
    sample() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution
    Generates a random value vector sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution
    Generates a random value vector sampled from this distribution.
    sample() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
    Generates a random value vector sampled from this distribution.
    sample(int) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution
    Generates a list of a random value vectors from the distribution.
    sample() - Method in class org.apache.commons.math3.distribution.NormalDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.ParetoDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.PoissonDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Generate a random value sampled from this distribution.
    sample(int) - Method in interface org.apache.commons.math3.distribution.RealDistribution
    Generate a random sample from the distribution.
    sample() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution
    Generate a random value sampled from this distribution.
    sample() - Method in class org.apache.commons.math3.distribution.ZipfDistribution
    Generate a random value sampled from this distribution.
    sanityChecks(FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Check the integration span.
    sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Check the integration span.
    sanityChecks(FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Check the integration span.
    sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Check the integration span.
    scalAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Allowed absolute scalar error.
    scalAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Allowed absolute scalar error.
    scalarAdd(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Increment each entry of this matrix.
    scalarAdd(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the result of adding d to each entry of this.
    scalarAdd(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Increment each entry of this matrix.
    scalarAdd(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the result of adding d to each entry of this.
    scalarAdd(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Increment each entry of this matrix.
    scalarAdd(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the result of adding d to each entry of this.
    scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Multiply the instance by a scalar.
    scalarMultiply(T) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Multiply the instance by a scalar.
    scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Multiply the instance by a scalar.
    scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Multiply the instance by a scalar.
    scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Multiply the instance by a scalar.
    scalarMultiply(double) - Method in interface org.apache.commons.math3.geometry.Vector
    Multiply the instance by a scalar.
    scalarMultiply(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Multiply each entry by d.
    scalarMultiply(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the result of multiplying each entry of this by d.
    scalarMultiply(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Multiply each entry by d.
    scalarMultiply(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the result of multiplying each entry of this by d.
    scalarMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Multiply each entry by d.
    scalarMultiply(double) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the result of multiplying each entry of this by d.
    scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Multiply the instance by a power of 2.
    scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Multiply the instance by a power of 2.
    scalb(int) - Method in class org.apache.commons.math3.dfp.Dfp
    Multiply the instance by a power of 2.
    scalb(int) - Method in interface org.apache.commons.math3.RealFieldElement
    Multiply the instance by a power of 2.
    scalb(int) - Method in class org.apache.commons.math3.util.Decimal64
    Multiply the instance by a power of 2.
    scalb(double, int) - Static method in class org.apache.commons.math3.util.FastMath
    Multiply a double number by a power of 2.
    scalb(float, int) - Static method in class org.apache.commons.math3.util.FastMath
    Multiply a float number by a power of 2.
    scale(double, double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Create a copy of an array scaled by a value.
    scaleArray(double[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
    Multiply every component in the given real array by the given real number.
    scaleArray(Complex[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils
    Multiply every component in the given complex array by the given real number.
    scaled - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    First scaled derivative (h y').
    scaled - Variable in class org.apache.commons.math3.ode.MultistepIntegrator
    First scaled derivative (h y').
    scaleInPlace(double, double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Multiply each element of an array by a value.
    scalRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Allowed relative scalar error.
    scalRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Allowed relative scalar error.
    score(List<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator
    Computes the evaluation score for the given list of clusters.
    score(List<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.SumOfClusterVariances
    Computes the evaluation score for the given list of clusters.
    scramble(int, int, int, int) - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
    Performs scrambling of digit d_j according to the formula:
    search(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch
    Finds the number alpha that optimizes f(startPoint + alpha * direction).
    search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optim.univariate.BracketFinder
    Search new points that bracket a local optimum of the function.
    search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder
    Deprecated.
    Search new points that bracket a local optimum of the function.
    searchForFitnessUpdate(Population) - Method in class org.apache.commons.math3.genetics.Chromosome
    Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.
    SearchInterval - Class in org.apache.commons.math3.optim.univariate
    Search interval and (optional) start value.
    SearchInterval(double, double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
     
    SearchInterval(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval
     
    SecantSolver - Class in org.apache.commons.math3.analysis.solvers
    Implements the Secant method for root-finding (approximating a zero of a univariate real function).
    SecantSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
    Construct a solver with default accuracy (1e-6).
    SecantSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
    Construct a solver.
    SecantSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver
    Construct a solver.
    SecondaryEquations - Interface in org.apache.commons.math3.ode
    This interface allows users to add secondary differential equations to a primary set of differential equations.
    SecondMoment - Class in org.apache.commons.math3.stat.descriptive.moment
    Computes a statistic related to the Second Central Moment.
    SecondMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
    Create a SecondMoment instance
    SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment
    Copy constructor, creates a new SecondMoment identical to the original
    SecondOrderDifferentialEquations - Interface in org.apache.commons.math3.ode
    This interface represents a second order differential equations set.
    SecondOrderIntegrator - Interface in org.apache.commons.math3.ode
    This interface represents a second order integrator for differential equations.
    Segment - Class in org.apache.commons.math3.geometry.euclidean.threed
    Simple container for a two-points segment.
    Segment(Vector3D, Vector3D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Segment
    Build a segment.
    Segment - Class in org.apache.commons.math3.geometry.euclidean.twod
    Simple container for a two-points segment.
    Segment(Vector2D, Vector2D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Segment
    Build a segment.
    select(Population) - Method in interface org.apache.commons.math3.genetics.SelectionPolicy
    Select two chromosomes from the population.
    select(Population) - Method in class org.apache.commons.math3.genetics.TournamentSelection
    Select two chromosomes from the population.
    select(double[], int[], int) - Method in class org.apache.commons.math3.util.KthSelector
    Select Kth value in the array.
    selectFarthest(Iterable<P>, EnclosingBall<S, P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
    Select the point farthest to the current ball.
    SelectionPolicy - Interface in org.apache.commons.math3.genetics
    Algorithm used to select a chromosome pair from a population.
    selectTransformer(Transformer, double, boolean) - Method in enum org.apache.commons.math3.ode.events.FilterType
    Get next function transformer in the specified direction.
    SemiVariance - Class in org.apache.commons.math3.stat.descriptive.moment
    Computes the semivariance of a set of values with respect to a given cutoff value.
    SemiVariance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Constructs a SemiVariance with default (true) biasCorrected property and default (Downside) varianceDirection property.
    SemiVariance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Constructs a SemiVariance with the specified biasCorrected property and default (Downside) varianceDirection property.
    SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Constructs a SemiVariance with the specified Direction property and default (true) biasCorrected property
    SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Constructs a SemiVariance with the specified isBiasCorrected property and the specified Direction property.
    SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Copy constructor, creates a new SemiVariance identical to the original
    SemiVariance.Direction - Enum in org.apache.commons.math3.stat.descriptive.moment
    The direction of the semivariance - either upside or downside.
    sequence(int, int, int) - Static method in class org.apache.commons.math3.util.MathArrays
    Returns an array of size integers starting at start, skipping stride numbers.
    serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Serialize a RealMatrix.
    serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Serialize a RealVector.
    set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Set a set of consecutive elements.
    set(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Set all elements to a single value.
    set(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Set all elements to a single value.
    set(T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Set all elements to a single value.
    set(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Set all elements to a single value.
    set(double) - Method in class org.apache.commons.math3.linear.RealVector
    Set all elements to a single value.
    set(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Set all elements to a single value.
    setAngle(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Set the angle of the line.
    setArity(int) - Method in class org.apache.commons.math3.genetics.TournamentSelection
    Sets the arity (number of chromosomes drawn to the tournament).
    setAttribute(Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Associate an attribute with the instance.
    setBarycenter(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Set the barycenter of the instance.
    setBarycenter(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Set the barycenter of the instance.
    setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Sets the biasCorrected property.
    setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
     
    setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance
     
    setChromosomes(List<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation
    setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Set the entries in column number column as a column matrix.
    setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Sets the specified column of this matrix to the entries of the specified array.
    setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Set the entries in column number column as a column matrix.
    setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Sets the specified column of this matrix to the entries of the specified array.
    setColumn(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Set the entries in column number column as a column matrix.
    setColumn(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Sets the specified column of this matrix to the entries of the specified array.
    setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Set the entries in column number column as a column matrix.
    setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Sets the specified column of this matrix to the entries of the specified column matrix.
    setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Set the entries in column number column as a column matrix.
    setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Sets the specified column of this matrix to the entries of the specified column matrix.
    setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Set the entries in column number column as a column matrix.
    setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Sets the specified column of this matrix to the entries of the specified column matrix.
    setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Set the entries in column number column as a vector.
    setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Sets the specified column of this matrix to the entries of the specified vector.
    setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Set the entries in column number column as a vector.
    setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Sets the specified column of this matrix to the entries of the specified vector.
    setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Set the entries in column number column as a vector.
    setColumnVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Sets the specified column of this matrix to the entries of the specified vector.
    setCompleteState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Set the complete current state.
    setContractionCriteria(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    As of 3.1 (to be removed in 4.0 as field will become "final").
    setControlFactors(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
    Set the step size control factors.
    setCost(double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer
    Deprecated.
    Sets the cost.
    setCost(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    Sets the cost.
    setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    Set the data array.
    setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    Set the data array.
    setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Set the data array.
    setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Set the data array.
    setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
    Modify the denominator format.
    setElement(int, double) - Method in interface org.apache.commons.math3.util.DoubleArray
    Sets the element at the specified index.
    setElement(int, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Sets the element at the specified index.
    setElitismRate(double) - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation
    Sets the elitism rate, i.e.
    setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Set the entry in the specified row and column.
    setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Set the entry in the specified row and column.
    setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Set the entry in the specified row and column.
    setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Set the entry in the specified row and column.
    setEntry(int, T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Set a single element.
    setEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Set a single element.
    setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Set the entry in the specified row and column.
    setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Set the entry in the specified row and column.
    setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Set the entry in the specified row and column.
    setEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Set the entry in the specified row and column.
    setEntry(int, T) - Method in interface org.apache.commons.math3.linear.FieldVector
    Set a single element.
    setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Set the entry in the specified row and column.
    setEntry(int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Set a single element.
    setEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Set the entry in the specified row and column.
    setEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector
    Set a single element.
    setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix
    Set the entry in the specified row and column.
    setEntry(int, T) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Set a single element.
    setEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Set the equations.
    setExpandable(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.events.EventState
    Set the equation.
    setExpansionFactor(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    As of 3.1 (to be removed in 4.0 as field will become "final").
    setExpansionMode(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    setExpansionMode(ResizableDoubleArray.ExpansionMode) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    As of 3.1 (to be removed in 4.0 as field will become "final").
    setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Sets the implementation for the geometric mean.
    setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Sets the implementation for the geometric mean.
    setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Sets the implementation for the geometric mean.
    setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Sets the implementation for the geometric mean.
    setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Sets the implementation for the gemoetric mean.
    setIEEEFlags(int) - Method in class org.apache.commons.math3.dfp.DfpField
    Sets the IEEE 854 status flags.
    setIEEEFlagsBits(int) - Method in class org.apache.commons.math3.dfp.DfpField
    Sets some bits in the IEEE 854 status flags, without changing the already set bits.
    setIndex(int) - Method in class org.apache.commons.math3.linear.RealVector.Entry
    Set the index of the entry.
    setInitialCapacity(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    As of 3.1, this is a no-op.
    setInitialMainStateJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
    Set the initial value of the Jacobian matrix with respect to state.
    setInitialParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices
    Set the initial value of a column of the Jacobian matrix with respect to one parameter.
    setInitialStep(double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer
    Deprecated.
    Set the initial step used to bracket the optimum in line search.
    setInitialStepSize(T) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Set the initial step size.
    setInitialStepSize(double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Set the initial step size.
    setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel
    Set the time of the interpolated point.
    setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Set the time of the interpolated point.
    setInterpolatedTime(double) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator
    Set the time of the interpolated point.
    setInterpolationControl(boolean, int) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
    Set the interpolation order control parameter.
    setIsLastStep(boolean) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Set the last state flag.
    setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Sets the implementation for the kurtosis.
    setMaxEvaluations(int) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Set the maximal number of differential equations function evaluations.
    setMaxEvaluations(int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Set the maximal number of differential equations function evaluations.
    setMaxEvaluations(int) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator
    Set the maximal number of differential equations function evaluations.
    setMaxEvaluations(int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator
    Set the maximal number of differential equations function evaluations.
    setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Set the maximal growth factor for stepsize control.
    setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Set the maximal growth factor for stepsize control.
    setMaxGrowth(T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Set the maximal growth factor for stepsize control.
    setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
    Set the maximal growth factor for stepsize control.
    setMaximalCount(int) - Method in class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Sets the upper limit for the counter.
    setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Sets the implementation for the maximum.
    setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Sets the implementation for the maximum.
    setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Sets the implementation for the maximum.
    setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Sets the implementation for the maximum.
    setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Sets the implementation for the maximum.
    setMaxIterations(int) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer
    Deprecated.
    Set the maximal number of iterations of the algorithm.
    setMaxIterations(int) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer
    Deprecated.
    Set the maximal number of iterations of the algorithm.
    setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Sets the implementation for the mean.
    setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Sets the implementation for the mean.
    setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Sets the implementation for the mean.
    setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Sets the implementation for the mean.
    setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Sets the implementation for the mean.
    setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Sets the implementation for the minimum.
    setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Sets the implementation for the minimum.
    setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Sets the implementation for the minimum.
    setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Sets the implementation for the minimum.
    setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Sets the implementation for the minimum.
    setMinReduction(double) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Set the minimal reduction factor for stepsize control.
    setMinReduction(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Set the minimal reduction factor for stepsize control.
    setMinReduction(T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Set the minimal reduction factor for stepsize control.
    setMinReduction(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
    Set the minimal reduction factor for stepsize control.
    setMode(int) - Method in class org.apache.commons.math3.random.ValueServer
    Sets the data generation mode.
    setMu(double) - Method in class org.apache.commons.math3.random.ValueServer
    Sets the mean used in data generation.
    setNoIntercept(boolean) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
     
    setNumElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    This function allows you to control the number of elements contained in this array, and can be used to "throw out" the last n values in an array.
    setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat
    Modify the numerator format.
    setOrderControl(int, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
    Set the order control parameters.
    setOriginOffset(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Set the offset of the origin.
    setParameter(String, double) - Method in interface org.apache.commons.math3.ode.ParameterizedODE
    Set the value for a given parameter.
    setParameterizedODE(ParameterizedODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices
    Set a parameter Jacobian provider.
    setParameterStep(String, double) - Method in class org.apache.commons.math3.ode.JacobianMatrices
    Set the step associated to a parameter in order to compute by finite difference the Jacobian matrix.
    setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Sets the implementation to be used by DescriptiveStatistics.getPercentile(double).
    setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Store a new point at location index.
    setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Store a new point at location index.
    setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex
    Replace all points.
    setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex
    Deprecated.
    Replace all points.
    setPopulationLimit(int) - Method in class org.apache.commons.math3.genetics.ListPopulation
    Sets the maximal population size.
    setPrimaryState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Set primary part of the current state.
    setQuantile(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
    setRandomGenerator(RandomGenerator) - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm
    Set the (static) random generator.
    setRoundingMode(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.DfpField
    Set the rounding mode.
    setRoundingMode(RoundingMode) - Method in class org.apache.commons.math3.util.BigReal
    Sets the rounding mode for decimal divisions.
    setRow(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Set the entries in row number row as a row matrix.
    setRow(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Sets the specified row of this matrix to the entries of the specified array.
    setRow(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Set the entries in row number row as a row matrix.
    setRow(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Sets the specified row of this matrix to the entries of the specified array.
    setRow(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Set the entries in row number row as a row matrix.
    setRow(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Sets the specified row of this matrix to the entries of the specified array.
    setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Set the entries in row number row as a row matrix.
    setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Sets the specified row of this matrix to the entries of the specified row matrix.
    setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Set the entries in row number row as a row matrix.
    setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Sets the entries in row number row as a row matrix.
    setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Sets the specified row of this matrix to the entries of the specified row matrix.
    setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Sets the entries in row number row as a row matrix.
    setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Set the entries in row number row as a row matrix.
    setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Sets the specified row of this matrix to the entries of the specified row matrix.
    setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Set the entries in row number row as a vector.
    setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Sets the specified row of this matrix to the entries of the specified vector.
    setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Set the entries in row number row as a vector.
    setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Sets the specified row of this matrix to the entries of the specified vector.
    setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Set the entries in row number row as a vector.
    setRowVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Sets the specified row of this matrix to the entries of the specified vector.
    setSafety(double) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Set the safety factor for stepsize control.
    setSafety(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Set the safety factor for stepsize control.
    setSafety(T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator
    Set the safety factor for stepsize control.
    setSafety(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator
    Set the safety factor for stepsize control.
    setScale(int) - Method in class org.apache.commons.math3.util.BigReal
    Sets the scale for division operations.
    setSecondaryState(int, double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Set secondary part of the current state.
    setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataGenerator
    Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
    setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataImpl
    Deprecated.
    Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
    setSeed(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Sets the seed of the underlying random number generator using an int seed.
    setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Sets the seed of the underlying random number generator using an int array seed.
    setSeed(long) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator
    Sets the seed of the underlying random number generator using a long seed.
    setSeed(int) - Method in class org.apache.commons.math3.random.AbstractWell
    Reinitialize the generator as if just built with the given int seed.
    setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractWell
    Reinitialize the generator as if just built with the given int array seed.
    setSeed(long) - Method in class org.apache.commons.math3.random.AbstractWell
    Reinitialize the generator as if just built with the given long seed.
    setSeed(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Sets the seed of the underlying random number generator using an int seed.
    setSeed(int[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Sets the seed of the underlying random number generator using an int array seed.
    setSeed(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator
    Sets the seed of the underlying random number generator using a long seed.
    setSeed(int) - Method in class org.apache.commons.math3.random.ISAACRandom
    Sets the seed of the underlying random number generator using an int seed.
    setSeed(long) - Method in class org.apache.commons.math3.random.ISAACRandom
    Sets the seed of the underlying random number generator using a long seed.
    setSeed(int[]) - Method in class org.apache.commons.math3.random.ISAACRandom
    Sets the seed of the underlying random number generator using an int array seed.
    setSeed(int) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
    Sets the seed of the underlying random number generator using an int seed.
    setSeed(int[]) - Method in class org.apache.commons.math3.random.JDKRandomGenerator
    Sets the seed of the underlying random number generator using an int array seed.
    setSeed(int) - Method in class org.apache.commons.math3.random.MersenneTwister
    Reinitialize the generator as if just built with the given int seed.
    setSeed(int[]) - Method in class org.apache.commons.math3.random.MersenneTwister
    Reinitialize the generator as if just built with the given int array seed.
    setSeed(long) - Method in class org.apache.commons.math3.random.MersenneTwister
    Reinitialize the generator as if just built with the given long seed.
    setSeed(int) - Method in class org.apache.commons.math3.random.RandomAdaptor
    Sets the seed of the underlying random number generator using an int seed.
    setSeed(int[]) - Method in class org.apache.commons.math3.random.RandomAdaptor
    Sets the seed of the underlying random number generator using an int array seed.
    setSeed(long) - Method in class org.apache.commons.math3.random.RandomAdaptor
    Sets the seed of the underlying random number generator using a long seed.
    setSeed(int) - Method in interface org.apache.commons.math3.random.RandomGenerator
    Sets the seed of the underlying random number generator using an int seed.
    setSeed(int[]) - Method in interface org.apache.commons.math3.random.RandomGenerator
    Sets the seed of the underlying random number generator using an int array seed.
    setSeed(long) - Method in interface org.apache.commons.math3.random.RandomGenerator
    Sets the seed of the underlying random number generator using a long seed.
    setSeed(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Sets the seed of the underlying random number generator using an int seed.
    setSeed(int[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Sets the seed of the underlying random number generator using an int array seed.
    setSeed(long) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Sets the seed of the underlying random number generator using a long seed.
    setSigma(double) - Method in class org.apache.commons.math3.random.ValueServer
    setSimplex(AbstractSimplex) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer
    Deprecated.
    As of 3.1. The initial simplex can now be passed as an argument of the BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[]) method.
    setSize(double) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Set the size of the instance.
    setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Sets the implementation for the skewness.
    setSoftCurrentTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Restrict step range to a limited part of the global step.
    setSoftPreviousTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Restrict step range to a limited part of the global step.
    setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator
    Set the stability check controls.
    setStarterIntegrator(FirstOrderFieldIntegrator<T>) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Set the starter integrator.
    setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Set the starter integrator.
    setStateInitialized(boolean) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Set the stateInitialized flag.
    setStateInitialized(boolean) - Method in class org.apache.commons.math3.ode.AbstractIntegrator
    Set the stateInitialized flag.
    setStepSize(T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Set the current step size.
    setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Set the adaptive step size control parameters.
    setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Set the adaptive step size control parameters.
    setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Set the adaptive step size control parameters.
    setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Set the adaptive step size control parameters.
    setStepStart(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator
    Set current step start.
    setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Replace the submatrix starting at (row, column) using data in the input subMatrix array.
    setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Replace the submatrix starting at row, column using data in the input subMatrix array.
    setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Replace the submatrix starting at (row, column) using data in the input subMatrix array.
    setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Replace the submatrix starting at row, column using data in the input subMatrix array.
    setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Replace the submatrix starting at (row, column) using data in the input subMatrix array.
    setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Replace the submatrix starting at row, column using data in the input subMatrix array.
    setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Replace the submatrix starting at (row, column) using data in the input subMatrix array.
    setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Replace the submatrix starting at row, column using data in the input subMatrix array.
    setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Set a set of consecutive elements.
    setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Set a sequence of consecutive elements.
    setSubVector(int, double[]) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Set a set of consecutive elements.
    setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
    Set a set of consecutive elements.
    setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Set a sequence of consecutive elements.
    setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Set a sequence of consecutive elements.
    setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Set a set of consecutive elements.
    setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Sets the implementation for the sum.
    setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Sets the implementation for the Sum.
    setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Sets the implementation for the Sum.
    setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Sets the implementation for the Sum.
    setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Sets the implementation for the Sum.
    setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean
    Sets the implementation for the sum of logs.
    setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Sets the implementation for the sum of logs.
    setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Sets the implementation for the sum of logs.
    setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Sets the implementation for the sum of logs.
    setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Sets the implementation for the sum of logs.
    setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Sets the implementation for the sum of squares.
    setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Sets the implementation for the sum of squares.
    setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Sets the implementation for the sum of squares.
    setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Sets the implementation for the sum of squares.
    setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Sets the implementation for the sum of squares.
    setTime(double) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE
    Set current time.
    setup(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator
    Prepare for computation.
    setup(int, DifferentiableUnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver
    Deprecated.
    Prepare for computation.
    setup(int, PolynomialFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver
    Prepare for computation.
    setup(int, UnivariateDifferentiableFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver
    Prepare for computation.
    setup(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Prepare for computation.
    setUp() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer
    Deprecated.
    Method which a subclass must override whenever its internal state depend on the input parsed by this base class.
    setUp() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    Method which a subclass must override whenever its internal state depend on the input parsed by this base class.
    setValue(String, Object) - Method in class org.apache.commons.math3.exception.util.ExceptionContext
    Sets the context (key, value) pair.
    setValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry
    Set the value of the entry.
    setValue(double) - Method in class org.apache.commons.math3.linear.RealVector.Entry
    Set the value of the entry.
    setValuesFileURL(String) - Method in class org.apache.commons.math3.random.ValueServer
    Sets the values file URL using a string URL representation.
    setValuesFileURL(URL) - Method in class org.apache.commons.math3.random.ValueServer
    Sets the the values file URL.
    setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    Sets the variance direction
    setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Sets the implementation for the variance.
    setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Sets the implementation for the variance.
    setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Sets the implementation for the variance.
    setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat
    Modify the whole format.
    setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat
    Modify the whole format.
    setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    WindowSize controls the number of values that contribute to the reported statistics.
    setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    WindowSize controls the number of values that contribute to the reported statistics.
    shift(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils
    Compute the coefficients of the polynomial \(P_s(x)\) whose values at point x will be the same as the those from the original polynomial \(P(x)\) when computed at x + shift.
    shift() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Shift one step forward.
    shiftLeft() - Method in class org.apache.commons.math3.dfp.Dfp
    Shift the mantissa left, and adjust the exponent to compensate.
    shiftRight() - Method in class org.apache.commons.math3.dfp.Dfp
    Shift the mantissa right, and adjust the exponent to compensate.
    shortValue() - Method in class org.apache.commons.math3.util.Decimal64
    The current implementation performs casting to a short.
    shuffle(int[], int, MathArrays.Position) - Static method in class org.apache.commons.math3.util.MathArrays
    Shuffle the entries of the given array.
    shuffle(int[], int, MathArrays.Position, RandomGenerator) - Static method in class org.apache.commons.math3.util.MathArrays
    Shuffle the entries of the given array, using the Fisher–Yates algorithm.
    shuffle(int[], RandomGenerator) - Static method in class org.apache.commons.math3.util.MathArrays
    Shuffle the entries of the given array.
    shuffle(int[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Shuffle the entries of the given array.
    side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion
    Deprecated.
    side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Deprecated.
    side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region
    Deprecated.
    as of 3.6, this method which was only intended for internal use is not used anymore
    Side - Enum in org.apache.commons.math3.geometry.partitioning
    Enumerate representing the location of an element with respect to an hyperplane of a space.
    side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
    side(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
    Deprecated.
    Sigmoid - Class in org.apache.commons.math3.analysis.function
    Sigmoid function.
    Sigmoid() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
    Usual sigmoid function, where the lower asymptote is 0 and the higher asymptote is 1.
    Sigmoid(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid
    Sigmoid function.
    Sigmoid.Parametric - Class in org.apache.commons.math3.analysis.function
    Parametric function where the input array contains the parameters of the sigmoid function, ordered as follows: Lower asymptote Higher asymptote
    Sigmoid.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
     
    sign - Variable in class org.apache.commons.math3.dfp.Dfp
    Sign bit: 1 for positive, -1 for negative.
    signum() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute the signum of the instance.
    signum() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute the signum of the instance.
    Signum - Class in org.apache.commons.math3.analysis.function
    signum function.
    Signum() - Constructor for class org.apache.commons.math3.analysis.function.Signum
     
    signum() - Method in class org.apache.commons.math3.dfp.Dfp
    Compute the signum of the instance.
    signum() - Method in interface org.apache.commons.math3.RealFieldElement
    Compute the signum of the instance.
    signum() - Method in class org.apache.commons.math3.util.Decimal64
    Compute the signum of the instance.
    signum(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the signum of a number.
    signum(float) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the signum of a number.
    SimpleBounds - Class in org.apache.commons.math3.optim
    Simple optimization constraints: lower and upper bounds.
    SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optim.SimpleBounds
     
    SimpleBounds - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.SimpleBounds
    Deprecated.
     
    SimpleCurveFitter - Class in org.apache.commons.math3.fitting
    Fits points to a user-defined function.
    SimplePointChecker<PAIR extends Pair<double[],? extends Object>> - Class in org.apache.commons.math3.optim
    Simple implementation of the ConvergenceChecker interface using only point coordinates.
    SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
    Build an instance with specified thresholds.
    SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker
    Builds an instance with specified thresholds.
    SimplePointChecker<PAIR extends Pair<double[],? extends Object>> - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    SimplePointChecker() - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
    SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
    Deprecated.
    Build an instance with specified thresholds.
    SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker
    Deprecated.
    Builds an instance with specified thresholds.
    SimpleRegression - Class in org.apache.commons.math3.stat.regression
    Estimates an ordinary least squares regression model with one independent variable.
    SimpleRegression() - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
    Create an empty SimpleRegression instance
    SimpleRegression(boolean) - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression
    Create a SimpleRegression instance, specifying whether or not to estimate an intercept.
    SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optim.univariate
    Simple implementation of the ConvergenceChecker interface that uses only objective function values.
    SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
    Build an instance with specified thresholds.
    SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker
    Builds an instance with specified thresholds.
    SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optimization.univariate
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    SimpleUnivariateValueChecker() - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
    SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
    Deprecated.
    Build an instance with specified thresholds.
    SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker
    Deprecated.
    Builds an instance with specified thresholds.
    SimpleValueChecker - Class in org.apache.commons.math3.optim
    Simple implementation of the ConvergenceChecker interface using only objective function values.
    SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
    Build an instance with specified thresholds.
    SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker
    Builds an instance with specified thresholds.
    SimpleValueChecker - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    SimpleValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
    SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
    Deprecated.
    Build an instance with specified thresholds.
    SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker
    Deprecated.
    Builds an instance with specified thresholds.
    SimpleVectorValueChecker - Class in org.apache.commons.math3.optim
    Simple implementation of the ConvergenceChecker interface using only objective function values.
    SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
    Build an instance with specified thresholds.
    SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker
    Builds an instance with specified tolerance thresholds and iteration count.
    SimpleVectorValueChecker - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    SimpleVectorValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
    SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
    Deprecated.
    Build an instance with specified thresholds.
    SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker
    Deprecated.
    Builds an instance with specified tolerance thresholds and iteration count.
    SimplexOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv
    This class implements simplex-based direct search optimization.
    SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
     
    SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer
     
    SimplexOptimizer - Class in org.apache.commons.math3.optimization.direct
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    SimplexOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
    SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
    Deprecated.
     
    SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer
    Deprecated.
     
    SimplexSolver - Class in org.apache.commons.math3.optim.linear
    Solves a linear problem using the "Two-Phase Simplex" method.
    SimplexSolver() - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
    Builds a simplex solver with default settings.
    SimplexSolver(double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
    Builds a simplex solver with a specified accepted amount of error.
    SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
    Builds a simplex solver with a specified accepted amount of error.
    SimplexSolver(double, int, double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver
    Builds a simplex solver with a specified accepted amount of error.
    SimplexSolver - Class in org.apache.commons.math3.optimization.linear
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    SimplexSolver() - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
    Deprecated.
    Build a simplex solver with default settings.
    SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver
    Deprecated.
    Build a simplex solver with a specified accepted amount of error
    SIMPSON_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
    Maximal number of iterations for Simpson.
    SimpsonIntegrator - Class in org.apache.commons.math3.analysis.integration
    Implements Simpson's Rule for integration of real univariate functions.
    SimpsonIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
    Build a Simpson integrator with given accuracies and iterations counts.
    SimpsonIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
    Build a Simpson integrator with given iteration counts.
    SimpsonIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator
    Construct an integrator with default settings.
    sin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Sine operation.
    sin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute sine of a derivative structure.
    sin() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Sine operation.
    Sin - Class in org.apache.commons.math3.analysis.function
    Sine function.
    Sin() - Constructor for class org.apache.commons.math3.analysis.function.Sin
     
    sin() - Method in class org.apache.commons.math3.complex.Complex
    Compute the sine of this complex number.
    sin() - Method in class org.apache.commons.math3.dfp.Dfp
    Sine operation.
    sin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    computes the sine of the argument.
    sin() - Method in interface org.apache.commons.math3.RealFieldElement
    Sine operation.
    sin() - Method in class org.apache.commons.math3.util.Decimal64
    Sine operation.
    sin(double) - Static method in class org.apache.commons.math3.util.FastMath
    Sine function.
    Sinc - Class in org.apache.commons.math3.analysis.function
    Sinc function, defined by
    Sinc() - Constructor for class org.apache.commons.math3.analysis.function.Sinc
    The sinc function, sin(x) / x.
    Sinc(boolean) - Constructor for class org.apache.commons.math3.analysis.function.Sinc
    Instantiates the sinc function.
    singleStep(FirstOrderFieldDifferentialEquations<T>, T, T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator
    Fast computation of a single step of ODE integration.
    singleStep(FirstOrderDifferentialEquations, double, double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator
    Fast computation of a single step of ODE integration.
    SingularMatrixException - Exception in org.apache.commons.math3.linear
    Exception to be thrown when a non-singular matrix is expected.
    SingularMatrixException() - Constructor for exception org.apache.commons.math3.linear.SingularMatrixException
    Construct an exception.
    SingularOperatorException - Exception in org.apache.commons.math3.linear
    Exception to be thrown when trying to invert a singular operator.
    SingularOperatorException() - Constructor for exception org.apache.commons.math3.linear.SingularOperatorException
    Creates a new instance of this class.
    SingularValueDecomposition - Class in org.apache.commons.math3.linear
    Calculates the compact Singular Value Decomposition of a matrix.
    SingularValueDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.SingularValueDecomposition
    Calculates the compact Singular Value Decomposition of the given matrix.
    sinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Hyperbolic sine operation.
    sinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute hyperbolic sine of a derivative structure.
    sinh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Hyperbolic sine operation.
    Sinh - Class in org.apache.commons.math3.analysis.function
    Hyperbolic sine function.
    Sinh() - Constructor for class org.apache.commons.math3.analysis.function.Sinh
     
    sinh() - Method in class org.apache.commons.math3.complex.Complex
    Compute the hyperbolic sine of this complex number.
    sinh() - Method in class org.apache.commons.math3.dfp.Dfp
    Hyperbolic sine operation.
    sinh() - Method in interface org.apache.commons.math3.RealFieldElement
    Hyperbolic sine operation.
    sinh() - Method in class org.apache.commons.math3.util.Decimal64
    Hyperbolic sine operation.
    sinh(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the hyperbolic sine of a number.
    sinInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Computes sin(a) Used when 0 < a < pi/4.
    size() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree
    Deprecated.
    Get the number of elements of the tree.
    size() - Method in class org.apache.commons.math3.util.IntegerSequence.Range
    Gets the number of elements contained in the range.
    size() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap
    Get the number of elements stored in the map.
    size() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap
    Get the number of elements stored in the map.
    Skewness - Class in org.apache.commons.math3.stat.descriptive.moment
    Computes the skewness of the available values.
    Skewness() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
    Constructs a Skewness
    Skewness(ThirdMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
    Constructs a Skewness with an external moment
    Skewness(Skewness) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness
    Copy constructor, creates a new Skewness identical to the original
    skipTo(int) - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator
    Skip to the i-th point in the Halton sequence.
    skipTo(int) - Method in class org.apache.commons.math3.random.SobolSequenceGenerator
    Skip to the i-th point in the Sobol sequence.
    SMALL_SAMPLE_PRODUCT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest
    Deprecated.
    smooth(double[], double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
    Compute a weighted loess fit on the data at the original abscissae.
    smooth(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator
    Compute a loess fit on the data at the original abscissae.
    SmoothedDataHistogram - Class in org.apache.commons.math3.ml.neuralnet.twod.util
    Visualization of high-dimensional data projection on a 2D-map.
    SmoothedDataHistogram(int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.SmoothedDataHistogram
     
    SmoothingPolynomialBicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Deprecated.
    To be removed in 4.0 (see MATH-1166).
    SmoothingPolynomialBicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
    Deprecated.
    Default constructor.
    SmoothingPolynomialBicubicSplineInterpolator(int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
    Deprecated.
     
    SmoothingPolynomialBicubicSplineInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
    Deprecated.
     
    SNAN - Static variable in class org.apache.commons.math3.dfp.Dfp
    Indicator value for signaling NaN.
    SobolSequenceGenerator - Class in org.apache.commons.math3.random
    Implementation of a Sobol sequence.
    SobolSequenceGenerator(int) - Constructor for class org.apache.commons.math3.random.SobolSequenceGenerator
    Construct a new Sobol sequence generator for the given space dimension.
    SobolSequenceGenerator(int, InputStream) - Constructor for class org.apache.commons.math3.random.SobolSequenceGenerator
    Construct a new Sobol sequence generator for the given space dimension with direction vectors loaded from the given stream.
    SolutionCallback - Class in org.apache.commons.math3.optim.linear
    A callback object that can be provided to a linear optimizer to keep track of the best solution found.
    SolutionCallback() - Constructor for class org.apache.commons.math3.optim.linear.SolutionCallback
     
    solve(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Solve for a zero in the given interval, start at startValue.
    solve(int, FUNC, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Solve for a zero root in the given interval.
    solve(int, FUNC, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Solve for a zero in the vicinity of startValue.
    solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
    Solve for a zero in the given interval.
    solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
    Solve for a zero in the given interval, start at startValue.
    solve(int, UnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver
    Solve for a zero in the given interval, start at startValue.
    solve(int, FUNC, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
    Solve for a zero root in the given interval.
    solve(int, FUNC, double, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
    Solve for a zero in the given interval, start at startValue.
    solve(int, FUNC, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver
    Solve for a zero in the vicinity of startValue.
    solve(int, RealFieldUnivariateFunction<T>, T, T, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
    Solve for a zero in the given interval.
    solve(int, RealFieldUnivariateFunction<T>, T, T, T, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver
    Solve for a zero in the given interval, start at startValue.
    solve(int, FUNC, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
    Solve for a zero in the given interval.
    solve(int, FUNC, double, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver
    Solve for a zero in the given interval, start at startValue.
    solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
    Solve for a zero in the given interval.
    solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver
    Solve for a zero in the given interval, start at startValue.
    solve(int, RealFieldUnivariateFunction<T>, T, T, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
    Solve for a zero in the given interval.
    solve(int, RealFieldUnivariateFunction<T>, T, T, T, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver
    Solve for a zero in the given interval, start at startValue.
    solve(int, UnivariateDifferentiableFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver
    Find a zero near the midpoint of min and max.
    solve(int, DifferentiableUnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver
    Deprecated.
    Find a zero near the midpoint of min and max.
    solve(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    Convenience method to find a zero of a univariate real function.
    solve(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    Convenience method to find a zero of a univariate real function.
    solve(int, UnivariateDfpFunction, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
    Deprecated.
    Solve for a zero in the given interval.
    solve(int, UnivariateDfpFunction, Dfp, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP
    Deprecated.
    Solve for a zero in the given interval, start at startValue.
    solve(RealMatrix, RealVector) - Method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
    Solve the linear least squares problem Jx=r.
    solve(RealVector) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
    Solve the linear equation A × X = B for matrices A.
    solve(RealMatrix) - Method in interface org.apache.commons.math3.linear.DecompositionSolver
    Solve the linear equation A × X = B for matrices A.
    solve(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
    Solve the linear equation A × X = B for matrices A.
    solve(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver
    Solve the linear equation A × X = B for matrices A.
    solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
    Returns an estimate of the solution to the linear system A · x = b.
    solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
    Returns an estimate of the solution to the linear system A · x = b.
    solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
    Returns an estimate of the solution to the linear system A · x = b.
    solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
    Returns an estimate of the solution to the linear system A · x = b.
    solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
    Returns an estimate of the solution to the linear system A · x = b.
    solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
    Returns an estimate of the solution to the linear system A · x = b.
    solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
    Returns an estimate of the solution to the linear system A · x = b.
    solve(RealLinearOperator, RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
    Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
    solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
    Returns an estimate of the solution to the linear system A · x = b.
    solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
    Returns an estimate of the solution to the linear system A · x = b.
    solve(RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
    Returns the solution to the system (A - shift · I) · x = b.
    solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
    Returns an estimate of the solution to the linear system A · x = b.
    solveAllComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
    Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
    solveAllComplex(double[], double, int) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
    Find all complex roots for the polynomial with the given coefficients, starting from the given initial value.
    solveComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
    Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
    solveComplex(double[], double, int) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver
    Find a complex root for the polynomial with the given coefficients, starting from the given initial value.
    solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.ConjugateGradient
    Returns an estimate of the solution to the linear system A · x = b.
    solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver
    Returns an estimate of the solution to the linear system A · x = b.
    solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
    Returns an estimate of the solution to the linear system A · x = b.
    solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver
    Returns an estimate of the solution to the linear system A · x = b.
    solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
    Returns an estimate of the solution to the linear system A · x = b.
    solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ
    Returns an estimate of the solution to the linear system (A - shift · I) · x = b.
    solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ
    Returns an estimate of the solution to the linear system A · x = b.
    solveInverseCumulativeProbability(double, int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution
    solveLowerTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Solve a system of composed of a Lower Triangular Matrix RealMatrix.
    solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver
    Solves Phase 1 of the Simplex method.
    solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver
    Deprecated.
    Solves Phase 1 of the Simplex method.
    SOLVER_DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.AbstractRealDistribution
    Default accuracy.
    solveUpperTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils
    Solver a system composed of an Upper Triangular Matrix RealMatrix.
    sort(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils
    Creates a list of neurons sorted in increased order of the distance to the given features.
    sortInPlace(double[], double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
    Sort an array in ascending order in place and perform the same reordering of entries on other arrays.
    sortInPlace(double[], MathArrays.OrderDirection, double[]...) - Static method in class org.apache.commons.math3.util.MathArrays
    Sort an array in place and perform the same reordering of entries on other arrays.
    Space - Interface in org.apache.commons.math3.geometry
    This interface represents a generic space, with affine and vectorial counterparts.
    SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
    Sparse matrix implementation based on an open addressed map.
    SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
    Create a matrix with no data.
    SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
    Create a new SparseFieldMatrix with the supplied row and column dimensions.
    SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
    Copy constructor.
    SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix
    Generic copy constructor.
    SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear
    This class implements the FieldVector interface with a OpenIntToFieldHashMap backing store.
    SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
    Build a 0-length vector.
    SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
    Construct a vector of zeroes.
    SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
    Build a resized vector, for use with append.
    SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
    Build a vector with known the sparseness (for advanced use only).
    SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
    Create from a Field array.
    SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector
    Copy constructor.
    SparseGradient - Class in org.apache.commons.math3.analysis.differentiation
    First derivative computation with large number of variables.
    sparseIterator() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Create a sparse iterator over the vector, which may omit some entries.
    sparseIterator() - Method in class org.apache.commons.math3.linear.RealVector
    Create a sparse iterator over the vector, which may omit some entries.
    SparseRealMatrix - Interface in org.apache.commons.math3.linear
    Marker interface for RealMatrix implementations that require sparse backing storage
    SparseRealVector - Class in org.apache.commons.math3.linear
    Marker class for RealVectors that require sparse backing storage
    SparseRealVector() - Constructor for class org.apache.commons.math3.linear.SparseRealVector
     
    SpearmansCorrelation - Class in org.apache.commons.math3.stat.correlation
    Spearman's rank correlation.
    SpearmansCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
    Create a SpearmansCorrelation without data.
    SpearmansCorrelation(RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
    Create a SpearmansCorrelation with the given ranking algorithm.
    SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
    Create a SpearmansCorrelation from the given data matrix.
    SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation
    Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.
    Sphere1D - Class in org.apache.commons.math3.geometry.spherical.oned
    This class implements a one-dimensional sphere (i.e.
    Sphere1D.NoSubSpaceException - Exception in org.apache.commons.math3.geometry.spherical.oned
    Specialized exception for inexistent sub-space.
    Sphere1D.NoSubSpaceException() - Constructor for exception org.apache.commons.math3.geometry.spherical.oned.Sphere1D.NoSubSpaceException
    Simple constructor.
    Sphere2D - Class in org.apache.commons.math3.geometry.spherical.twod
    This class implements a two-dimensional sphere (i.e.
    SphereGenerator - Class in org.apache.commons.math3.geometry.euclidean.threed
    Class generating an enclosing ball from its support points.
    SphereGenerator() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator
     
    SphericalCoordinates - Class in org.apache.commons.math3.geometry.euclidean.threed
    This class provides conversions related to spherical coordinates.
    SphericalCoordinates(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
    Build a spherical coordinates transformer from Cartesian coordinates.
    SphericalCoordinates(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
    Build a spherical coordinates transformer from spherical coordinates.
    SphericalPolygonsSet - Class in org.apache.commons.math3.geometry.spherical.twod
    This class represents a region on the 2-sphere: a set of spherical polygons.
    SphericalPolygonsSet(double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
    Build a polygons set representing the whole real 2-sphere.
    SphericalPolygonsSet(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
    Build a polygons set representing a hemisphere.
    SphericalPolygonsSet(Vector3D, Vector3D, double, int, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
    Build a polygons set representing a regular polygon.
    SphericalPolygonsSet(BSPTree<Sphere2D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
    Build a polygons set from a BSP tree.
    SphericalPolygonsSet(Collection<SubHyperplane<Sphere2D>>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
    Build a polygons set from a Boundary REPresentation (B-rep).
    SphericalPolygonsSet(double, S2Point...) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet
    Build a polygon from a simple list of vertices.
    SplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
    SplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SplineInterpolator
     
    split(DfpField, String) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Breaks a string representation up into two dfp's.
    split(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Splits a Dfp into 2 Dfp's such that their sum is equal to the input Dfp.
    split(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
    Split the instance in two parts by an hyperplane.
    split(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
    Split the instance in two parts by an hyperplane.
    split(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine
    Split the instance in two parts by an hyperplane.
    split(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane
    Split the instance in two parts by an hyperplane.
    split(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Split a BSP tree by an external sub-hyperplane.
    split(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane
    Split the instance in two parts by an hyperplane.
    split(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet
    Split the instance in two parts by an arc.
    split(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
    Split the instance in two parts by an hyperplane.
    split(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle
    Split the instance in two parts by an hyperplane.
    splitDiv(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Divide two numbers that are split in to two pieces that are meant to be added together.
    splitMult(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Multiply two numbers that are split in to two pieces that are meant to be added together.
    splitPow(Dfp[], int) - Static method in class org.apache.commons.math3.dfp.DfpMath
    Raise a split base to the a power.
    sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Square root.
    sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Square root.
    Sqrt - Class in org.apache.commons.math3.analysis.function
    Square-root function.
    Sqrt() - Constructor for class org.apache.commons.math3.analysis.function.Sqrt
     
    sqrt() - Method in class org.apache.commons.math3.complex.Complex
    Compute the square root of this complex number.
    sqrt() - Method in class org.apache.commons.math3.dfp.Dfp
    Compute the square root.
    sqrt() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner
    Returns the square root of this diagonal operator.
    sqrt() - Method in interface org.apache.commons.math3.RealFieldElement
    Square root.
    sqrt() - Method in class org.apache.commons.math3.util.Decimal64
    Square root.
    sqrt(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the square root of a number.
    sqrt1z() - Method in class org.apache.commons.math3.complex.Complex
    Compute the square root of 1 - this2 for this complex number.
    SquareNeighbourhood - Enum in org.apache.commons.math3.ml.neuralnet
    Defines neighbourhood types.
    StableRandomGenerator - Class in org.apache.commons.math3.random
    This class provides a stable normalized random generator.
    StableRandomGenerator(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.random.StableRandomGenerator
    Create a new generator.
    StandardDeviation - Class in org.apache.commons.math3.stat.descriptive.moment
    Computes the sample standard deviation.
    StandardDeviation() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Constructs a StandardDeviation.
    StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Constructs a StandardDeviation from an external second moment.
    StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Copy constructor, creates a new StandardDeviation identical to the original
    StandardDeviation(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Contructs a StandardDeviation with the specified value for the isBiasCorrected property.
    StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation
    Contructs a StandardDeviation with the specified value for the isBiasCorrected property and the supplied external moment.
    start(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the initial guess.
    start(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the initial guess.
    start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
    Start visiting a matrix.
    start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
    Start visiting a matrix.
    start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
    Start visiting a matrix.
    start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
    Start visiting a matrix.
    start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
    Start visiting a matrix.
    start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
    Start visiting a matrix.
    start(int, int, int) - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
    Start visiting a vector.
    start(int, int, int) - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
    Start visiting a vector.
    start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
    Start visiting a matrix.
    start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
    Start visiting a matrix.
    start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
    Start visiting a vector.
    start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
    Start visiting a vector.
    start(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator
    Start the integration.
    start(double, double[], double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator
    Start the integration.
    start() - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Deprecated.
    As of 3.1.
    stateVariation - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator
    State variation.
    StatisticalMultivariateSummary - Interface in org.apache.commons.math3.stat.descriptive
    Reporting interface for basic multivariate statistics.
    StatisticalSummary - Interface in org.apache.commons.math3.stat.descriptive
    Reporting interface for basic univariate statistics.
    StatisticalSummaryValues - Class in org.apache.commons.math3.stat.descriptive
    Value object representing the results of a univariate statistical summary.
    StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
    Constructor
    StatUtils - Class in org.apache.commons.math3.stat
    StatUtils provides static methods for computing statistics based on data stored in double[] arrays.
    stepAccepted(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState
    Acknowledge the fact the step has been accepted by the integrator.
    stepAccepted(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState
    Acknowledge the fact the step has been accepted by the integrator.
    StepFunction - Class in org.apache.commons.math3.analysis.function
    StepFunction(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.function.StepFunction
    Builds a step function from a list of arguments and the corresponding values.
    StepHandler - Interface in org.apache.commons.math3.ode.sampling
    This interface represents a handler that should be called after each successful step.
    stepHandlers - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
    Step handler.
    StepInterpolator - Interface in org.apache.commons.math3.ode.sampling
    This interface represents an interpolator over the last step during an ODE integration.
    StepNormalizer - Class in org.apache.commons.math3.ode.sampling
    This class wraps an object implementing FixedStepHandler into a StepHandler.
    StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
    Simple constructor.
    StepNormalizer(double, FixedStepHandler, StepNormalizerMode) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
    Simple constructor.
    StepNormalizer(double, FixedStepHandler, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
    Simple constructor.
    StepNormalizer(double, FixedStepHandler, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer
    Simple constructor.
    StepNormalizerBounds - Enum in org.apache.commons.math3.ode.sampling
    Step normalizer bounds settings.
    StepNormalizerMode - Enum in org.apache.commons.math3.ode.sampling
    stepSize - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
    Current stepsize.
    stepStart - Variable in class org.apache.commons.math3.ode.AbstractIntegrator
    Current step start time.
    stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils
    Returns the Stirling number of the second kind, "S(n,k)", the number of ways of partitioning an n-element set into k non-empty subsets.
    stop() - Method in class org.apache.commons.math3.ode.events.EventState
    Check if the integration should be stopped at the end of the current step.
    stop() - Method in class org.apache.commons.math3.ode.events.FieldEventState
    Check if the integration should be stopped at the end of the current step.
    StoppingCondition - Interface in org.apache.commons.math3.genetics
    Algorithm used to determine when to stop evolution.
    store(PAIR) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer
    Method that will be called in order to store each found optimum.
    store(PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer
    Method that will be called in order to store each found optimum.
    store(PointVectorValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer
    Deprecated.
    Method that will be called in order to store each found optimum.
    StorelessCovariance - Class in org.apache.commons.math3.stat.correlation
    Covariance implementation that does not require input data to be stored in memory.
    StorelessCovariance(int) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
    Create a bias corrected covariance matrix with a given dimension.
    StorelessCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance
    Create a covariance matrix with a given number of rows and columns and the indicated bias correction.
    StorelessUnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
    Extends the definition of UnivariateStatistic with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding values and updating internal state.
    storeTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Store the current step time.
    strictlyNegative() - Method in class org.apache.commons.math3.dfp.Dfp
    Check if instance is strictly less than 0.
    strictlyPositive() - Method in class org.apache.commons.math3.dfp.Dfp
    Check if instance is strictly greater than 0.
    subAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Subtract two integers, checking for overflow.
    subAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils
    Subtract two long integers, checking for overflow.
    SubCircle - Class in org.apache.commons.math3.geometry.spherical.twod
    This class represents a sub-hyperplane for Circle.
    SubCircle(Hyperplane<Sphere2D>, Region<Sphere1D>) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SubCircle
    Simple constructor.
    SubHyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
    This interface represents the remaining parts of an hyperplane after other parts have been chopped off.
    SubHyperplane.SplitSubHyperplane<U extends Space> - Class in org.apache.commons.math3.geometry.partitioning
    Class holding the results of the split method.
    SubHyperplane.SplitSubHyperplane(SubHyperplane<U>, SubHyperplane<U>) - Constructor for class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane
    Build a SplitSubHyperplane from its parts.
    SubLimitAngle - Class in org.apache.commons.math3.geometry.spherical.oned
    This class represents sub-hyperplane for LimitAngle.
    SubLimitAngle(Hyperplane<Sphere1D>, Region<Sphere1D>) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle
    Simple constructor.
    SubLine - Class in org.apache.commons.math3.geometry.euclidean.threed
    This class represents a subset of a Line.
    SubLine(Line, IntervalsSet) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
    Simple constructor.
    SubLine(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
    Create a sub-line from two endpoints.
    SubLine(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
    Deprecated.
    SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine
    Create a sub-line from a segment.
    SubLine - Class in org.apache.commons.math3.geometry.euclidean.twod
    This class represents a sub-hyperplane for Line.
    SubLine(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
    Simple constructor.
    SubLine(Vector2D, Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
    Create a sub-line from two endpoints.
    SubLine(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
    Deprecated.
    SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine
    Create a sub-line from a segment.
    SubOrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned
    This class represents sub-hyperplane for OrientedPoint.
    SubOrientedPoint(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint
    Simple constructor.
    SubPlane - Class in org.apache.commons.math3.geometry.euclidean.threed
    This class represents a sub-hyperplane for Plane.
    SubPlane(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubPlane
    Simple constructor.
    substituteMostRecentElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray
    Substitutes value for the most recently added value.
    subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    '-' operator.
    subtract(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Compute this - a.
    subtract(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Perform subtraction of two derivative structures.
    subtract(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Compute this - a.
    subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    '-' operator.
    Subtract - Class in org.apache.commons.math3.analysis.function
    Subtract the second operand from the first.
    Subtract() - Constructor for class org.apache.commons.math3.analysis.function.Subtract
     
    subtract(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Subtract a polynomial from the instance.
    subtract(Complex) - Method in class org.apache.commons.math3.complex.Complex
    Returns a Complex whose value is (this - subtrahend).
    subtract(double) - Method in class org.apache.commons.math3.complex.Complex
    Returns a Complex whose value is (this - subtrahend).
    subtract(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion
    Subtracts two quaternions.
    subtract(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion
    Subtracts a quaternion from the instance.
    subtract(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Subtract x from this.
    subtract(double) - Method in class org.apache.commons.math3.dfp.Dfp
    '-' operator.
    subtract(T) - Method in interface org.apache.commons.math3.FieldElement
    Compute this - a.
    subtract(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction
    Subtracts the value of an BigInteger from the value of this BigFraction, returning the result in reduced form.
    subtract(int) - Method in class org.apache.commons.math3.fraction.BigFraction
    Subtracts the value of an integer from the value of this BigFraction, returning the result in reduced form.
    subtract(long) - Method in class org.apache.commons.math3.fraction.BigFraction
    Subtracts the value of a long from the value of this BigFraction, returning the result in reduced form.
    subtract(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction
    Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
    subtract(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction
    Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
    subtract(int) - Method in class org.apache.commons.math3.fraction.Fraction
    Subtract an integer from the fraction.
    subtract(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Subtract a vector from the instance.
    subtract(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Subtract a scaled vector from the instance.
    subtract(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Subtract a vector from the instance.
    subtract(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Subtract a vector from the instance.
    subtract(T, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Subtract a scaled vector from the instance.
    subtract(T, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Subtract a scaled vector from the instance.
    subtract(double, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Subtract a scaled vector from the instance.
    subtract(double, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Subtract a scaled vector from the instance.
    subtract(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Subtract a vector from the instance.
    subtract(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Subtract a scaled vector from the instance.
    subtract(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Subtract a vector from the instance.
    subtract(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Subtract a scaled vector from the instance.
    subtract(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
    Subtract a vector from the instance.
    subtract(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector
    Subtract a scaled vector from the instance.
    subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Subtract m from this matrix.
    subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns this minus m.
    subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Subtract m from this matrix.
    subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Returns this minus m.
    subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Compute this minus v.
    subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Compute this minus v.
    subtract(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Subtract v from this vector.
    subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Subtract m from this matrix.
    subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Compute this - m.
    subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns this minus m.
    subtract(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Subtract m from this matrix.
    subtract(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix
    Returns this minus m.
    subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Subtract m from this matrix.
    subtract(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector
    Compute this minus v.
    subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Returns this minus m.
    subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix
    Subtract m from this matrix.
    subtract(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Optimized method to subtract OpenMapRealVectors.
    subtract(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Subtract v from this vector.
    subtract(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns this minus m.
    subtract(RealVector) - Method in class org.apache.commons.math3.linear.RealVector
    Subtract v from this vector.
    subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Optimized method to compute this minus v.
    subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Compute this minus v.
    subtract(double) - Method in interface org.apache.commons.math3.RealFieldElement
    '-' operator.
    subtract(BigReal) - Method in class org.apache.commons.math3.util.BigReal
    Compute this - a.
    subtract(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64
    Compute this - a.
    subtract(double) - Method in class org.apache.commons.math3.util.Decimal64
    '-' operator.
    subtractExact(int, int) - Static method in class org.apache.commons.math3.util.FastMath
    Subtract two numbers, detecting overflows.
    subtractExact(long, long) - Static method in class org.apache.commons.math3.util.FastMath
    Subtract two numbers, detecting overflows.
    Sum - Class in org.apache.commons.math3.stat.descriptive.summary
    Returns the sum of the available values.
    Sum() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
    Create a Sum instance
    Sum(Sum) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum
    Copy constructor, creates a new Sum identical to the original
    sum(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the sum of the values in the input array, or Double.NaN if the array is empty.
    sum(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    sumDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).
    sumLog(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the sum of the natural logs of the entries in the input array, or Double.NaN if the array is empty.
    sumLog(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    SummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
    Computes summary statistics for a stream of data values added using the addValue method.
    SummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Construct a SummaryStatistics instance
    SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    A copy constructor.
    SumOfClusterVariances<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering.evaluation
    Computes the sum of intra-cluster distance variances according to the formula:
    SumOfClusterVariances(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.SumOfClusterVariances
     
    SumOfLogs - Class in org.apache.commons.math3.stat.descriptive.summary
    Returns the sum of the natural logs for this collection of values.
    SumOfLogs() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
    Create a SumOfLogs instance
    SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs
    Copy constructor, creates a new SumOfLogs identical to the original
    SumOfSquares - Class in org.apache.commons.math3.stat.descriptive.summary
    Returns the sum of the squares of the available values.
    SumOfSquares() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
    Create a SumOfSquares instance
    SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares
    Copy constructor, creates a new SumOfSquares identical to the original
    sumSq(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the sum of the squares of the entries in the input array, or Double.NaN if the array is empty.
    sumSq(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    SupportBallGenerator<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.enclosing
    Interface for generating balls based on support points.
    SymmetricGaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss
    This class's implements integrate method assuming that the integral is symmetric about 0.
    SymmetricGaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
    Creates an integrator from the given points and weights.
    SymmetricGaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator
    Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair.
    SymmLQ - Class in org.apache.commons.math3.linear
    Implementation of the SYMMLQ iterative linear solver proposed by Paige and Saunders (1975).
    SymmLQ(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
    Creates a new instance of this class, with default stopping criterion.
    SymmLQ(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ
    Creates a new instance of this class, with default stopping criterion and custom iteration manager.
    SynchronizedDescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive
    Implementation of DescriptiveStatistics that is safe to use in a multithreaded environment.
    SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Construct an instance with infinite window
    SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Construct an instance with finite window
    SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    A copy constructor.
    SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
    Implementation of MultivariateSummaryStatistics that is safe to use in a multithreaded environment.
    SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Construct a SynchronizedMultivariateSummaryStatistics instance
    SynchronizedRandomGenerator - Class in org.apache.commons.math3.random
    Any RandomGenerator implementation can be thread-safe if it is used through an instance of this class.
    SynchronizedRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.SynchronizedRandomGenerator
    Creates a synchronized wrapper for the given RandomGenerator instance.
    SynchronizedSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive
    Implementation of SummaryStatistics that is safe to use in a multithreaded environment.
    SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Construct a SynchronizedSummaryStatistics instance
    SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    A copy constructor.

    T

    t(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    t(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    t(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    t(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes a t statistic given observed values and a comparison constant.
    t(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.
    t(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
    t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.
    t(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes t test statistic for 1-sample t-test.
    t(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes t test statistic for 2-sample t-test.
    tan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Tangent operation.
    tan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute tangent of a derivative structure.
    tan() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Tangent operation.
    Tan - Class in org.apache.commons.math3.analysis.function
    Tangent function.
    Tan() - Constructor for class org.apache.commons.math3.analysis.function.Tan
     
    tan() - Method in class org.apache.commons.math3.complex.Complex
    Compute the tangent of this complex number.
    tan() - Method in class org.apache.commons.math3.dfp.Dfp
    Tangent operation.
    tan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath
    computes the tangent of the argument.
    tan() - Method in interface org.apache.commons.math3.RealFieldElement
    Tangent operation.
    tan() - Method in class org.apache.commons.math3.util.Decimal64
    Tangent operation.
    tan(double) - Static method in class org.apache.commons.math3.util.FastMath
    Tangent function.
    tanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Hyperbolic tangent operation.
    tanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Compute hyperbolic tangent of a derivative structure.
    tanh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Hyperbolic tangent operation.
    Tanh - Class in org.apache.commons.math3.analysis.function
    Hyperbolic tangent function.
    Tanh() - Constructor for class org.apache.commons.math3.analysis.function.Tanh
     
    tanh() - Method in class org.apache.commons.math3.complex.Complex
    Compute the hyperbolic tangent of this complex number.
    tanh() - Method in class org.apache.commons.math3.dfp.Dfp
    Hyperbolic tangent operation.
    tanh() - Method in interface org.apache.commons.math3.RealFieldElement
    Hyperbolic tangent operation.
    tanh() - Method in class org.apache.commons.math3.util.Decimal64
    Hyperbolic tangent operation.
    tanh(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute the hyperbolic tangent of a number.
    target(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the observed data.
    target(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the observed data.
    Target - Class in org.apache.commons.math3.optim.nonlinear.vector
    Deprecated.
    All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
    Target(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Target
    Deprecated.
     
    Target - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    Target(double[]) - Constructor for class org.apache.commons.math3.optimization.Target
    Deprecated.
     
    taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Evaluate Taylor expansion a derivative structure.
    taylor(double[], int, double...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler
    Evaluate Taylor expansion of a derivative structure.
    taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Evaluate Taylor expansion of a sparse gradient.
    TDistribution - Class in org.apache.commons.math3.distribution
    Implementation of Student's t-distribution.
    TDistribution(double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
    Create a t distribution using the given degrees of freedom.
    TDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
    Create a t distribution using the given degrees of freedom and the specified inverse cumulative probability absolute accuracy.
    TDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
    Creates a t distribution.
    TDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution
    Creates a t distribution.
    terminationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener
    Invoked after completion of the operations which occur after breaking out of the main iteration loop.
    test(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    This method is used by evaluate(double[], int, int) methods to verify that the input parameters designate a subarray of positive length.
    test(double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    This method is used by evaluate(double[], int, int) methods to verify that the input parameters designate a subarray of positive length.
    test(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    This method is used by evaluate(double[], double[], int, int) methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
    test(double[], double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
    This method is used by evaluate(double[], double[], int, int) methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
    TestUtils - Class in org.apache.commons.math3.stat.inference
    A collection of static methods to create inference test instances or to perform inference tests.
    THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "3/5".
    THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "3/5".
    THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "3/4".
    THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "3/4".
    ThreeEighthesFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
    ThreeEighthesFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator
    Simple constructor.
    ThreeEighthesIntegrator - Class in org.apache.commons.math3.ode.nonstiff
    This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
    ThreeEighthesIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator
    Simple constructor.
    TiesStrategy - Enum in org.apache.commons.math3.stat.ranking
    Strategies for handling tied values in rank transformations.
    toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get the vector coordinates as a dimension 3 array.
    toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get the vector coordinates as a dimension 3 array.
    toArray() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get the vector coordinates as a dimension 2 array.
    toArray() - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Convert the vector to a T array.
    toArray() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Convert the vector to an array of doubles.
    toArray() - Method in interface org.apache.commons.math3.linear.FieldVector
    Convert the vector to a T array.
    toArray() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Convert the vector to an array of doubles.
    toArray() - Method in class org.apache.commons.math3.linear.RealVector
    Convert the vector to an array of doubles.
    toArray() - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Convert the vector to a T array.
    toBlocksLayout(T[][]) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Convert a data array from raw layout to blocks layout.
    toBlocksLayout(double[][]) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix
    Convert a data array from raw layout to blocks layout.
    toCartesianGradient(double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
    Convert a gradient with respect to spherical coordinates into a gradient with respect to Cartesian coordinates.
    toCartesianHessian(double[][], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates
    Convert a Hessian with respect to spherical coordinates into a Hessian with respect to Cartesian coordinates.
    toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Convert radians to degrees, with error of less than 0.5 ULP
    toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Convert radians to degrees, with error of less than 0.5 ULP
    toDegrees(double) - Static method in class org.apache.commons.math3.util.FastMath
    Convert radians to degrees, with error of less than 0.5 ULP
    toDifferentiableMultivariateFunction(MultivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Deprecated.
    this conversion method is temporary in version 3.1, as the DifferentiableMultivariateFunction interface itself is deprecated
    toDifferentiableMultivariateVectorFunction(MultivariateDifferentiableVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Deprecated.
    this conversion method is temporary in version 3.1, as the DifferentiableMultivariateVectorFunction interface itself is deprecated
    toDifferentiableUnivariateFunction(UnivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Deprecated.
    this conversion method is temporary in version 3.1, as the DifferentiableUnivariateFunction interface itself is deprecated
    toDouble() - Method in class org.apache.commons.math3.dfp.Dfp
    Convert the instance into a double.
    toIntExact(long) - Static method in class org.apache.commons.math3.util.FastMath
    Convert a long to interger, detecting overflows
    toList() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints
    Gets a snapshot of the observed points.
    toMultivariateDifferentiableFunction(DifferentiableMultivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Deprecated.
    this conversion method is temporary in version 3.1, as the DifferentiableMultivariateFunction interface itself is deprecated
    toMultivariateDifferentiableVectorFunction(DifferentiableMultivariateVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Deprecated.
    this conversion method is temporary in version 3.1, as the DifferentiableMultivariateFunction interface itself is deprecated
    TooManyEvaluationsException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when the maximal number of evaluations is exceeded.
    TooManyEvaluationsException(Number) - Constructor for exception org.apache.commons.math3.exception.TooManyEvaluationsException
    Construct the exception.
    TooManyIterationsException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when the maximal number of iterations is exceeded.
    TooManyIterationsException(Number) - Constructor for exception org.apache.commons.math3.exception.TooManyIterationsException
    Construct the exception.
    TopographicErrorHistogram - Class in org.apache.commons.math3.ml.neuralnet.twod.util
    Computes the topographic error histogram.
    TopographicErrorHistogram(boolean, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.TopographicErrorHistogram
     
    toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure
    Convert degrees to radians, with error of less than 0.5 ULP
    toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient
    Convert degrees to radians, with error of less than 0.5 ULP
    toRadians(double) - Static method in class org.apache.commons.math3.util.FastMath
    Convert degrees to radians, with error of less than 0.5 ULP
    toRotation() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation
    Convert to a constant vector without derivatives.
    toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Transform a sub-space point into a space point.
    toSpace(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Transform a sub-space point into a space point.
    toSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Transform a sub-space point into a space point.
    toSpace(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Transform an in-plane point into a 3D space point.
    toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Transform a sub-space point into a space point.
    toSpace(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Transform a sub-space point into a space point.
    toSpace(Point<T>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding
    Transform a sub-space point into a space point.
    toSpace(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Transform a sub-space point into a space point.
    toSplitDouble() - Method in class org.apache.commons.math3.dfp.Dfp
    Convert the instance into a split double.
    toString() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Returns a string representation of the polynomial.
    toString() - Method in class org.apache.commons.math3.complex.Complex
    toString() - Method in class org.apache.commons.math3.complex.Quaternion
    toString() - Method in class org.apache.commons.math3.dfp.Dfp
    Get a string representation of the instance.
    toString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable
    toString() - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
    toString() - Method in class org.apache.commons.math3.fraction.BigFraction
    Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
    toString() - Method in class org.apache.commons.math3.fraction.Fraction
    Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
    toString() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome
    toString() - Method in class org.apache.commons.math3.genetics.ChromosomePair
    toString() - Method in class org.apache.commons.math3.genetics.ListPopulation
    toString() - Method in class org.apache.commons.math3.genetics.RandomKey
    toString() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get a string representation of this vector.
    toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Get a string representation of this vector.
    toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get a string representation of this vector.
    toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Get a string representation of this vector.
    toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Get a string representation of the instance.
    toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get a string representation of this vector.
    toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Get a string representation of this vector.
    toString() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get a string representation of this vector.
    toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Get a string representation of this vector.
    toString(NumberFormat) - Method in interface org.apache.commons.math3.geometry.Vector
    Get a string representation of this vector.
    toString() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Get a string representation for this matrix.
    toString() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Get a string representation for this matrix.
    toString() - Method in class org.apache.commons.math3.linear.ArrayRealVector
    toString() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint
    toString() - Method in enum org.apache.commons.math3.optim.linear.Relationship
    toString() - Method in enum org.apache.commons.math3.optimization.linear.Relationship
    Deprecated.
    toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint
    Deprecated.
    toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint
    Deprecated.
    toString() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    Generates a text report displaying univariate statistics from values that have been added.
    toString() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics
    Generates a text report displaying summary statistics from values that have been added.
    toString() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile
    Returns a string containing the last observation, the current estimate of the quantile and all markers.
    toString() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues
    Generates a text report displaying values of statistics.
    toString() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics
    Generates a text report displaying summary statistics from values that have been added.
    toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics
    Generates a text report displaying univariate statistics from values that have been added.
    toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics
    Generates a text report displaying summary statistics from values that have been added.
    toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics
    Generates a text report displaying summary statistics from values that have been added.
    toString() - Method in class org.apache.commons.math3.stat.Frequency
    Return a string representation of this frequency distribution.
    toString() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval
     
    toString() - Method in class org.apache.commons.math3.util.Decimal64
    The returned String is equal to Double.toString(this.doubleValue())
    toString() - Method in class org.apache.commons.math3.util.MultidimensionalCounter
    toString() - Method in class org.apache.commons.math3.util.Pair
    toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Transform a space point into a sub-space point.
    toSubSpace(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Transform a space point into a sub-space point.
    toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Transform a space point into a sub-space point.
    toSubSpace(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Transform a 3D space point into an in-plane point.
    toSubSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Transform a space point into a sub-space point.
    toSubSpace(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Transform a space point into a sub-space point.
    toSubSpace(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding
    Transform a space point into a sub-space point.
    toSubSpace(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Transform a space point into a sub-space point.
    toUnivariateDifferential(DifferentiableUnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils
    Deprecated.
    this conversion method is temporary in version 3.1, as the DifferentiableUnivariateFunction interface itself is deprecated
    TournamentSelection - Class in org.apache.commons.math3.genetics
    Tournament selection scheme.
    TournamentSelection(int) - Constructor for class org.apache.commons.math3.genetics.TournamentSelection
    Creates a new TournamentSelection instance.
    toVector3D() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D
    Convert to a constant vector without derivatives.
    Transform<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning
    This interface represents an inversible affine transform in a space.
    transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
    Returns the (forward, inverse) transform of the specified real data set.
    transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer
    Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
    transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
    Returns the (forward, inverse) transform of the specified real data set.
    transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
    Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
    transform(Complex[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer
    Returns the (forward, inverse) transform of the specified complex data set.
    transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
    Returns the (forward, inverse) transform of the specified real data set.
    transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
    Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
    transform(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer
    Returns the forward transform of the specified integer data set.The integer transform cannot be inverted directly, due to a scaling factor which may lead to double results.
    transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer
    Returns the (forward, inverse) transform of the specified real data set.
    transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer
    Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
    transform(double[], TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer
    Returns the (forward, inverse) transform of the specified real data set.
    transform(UnivariateFunction, double, double, int, TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer
    Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval.
    transform(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer
     
    transform(Object) - Method in interface org.apache.commons.math3.util.NumberTransformer
    Implementing this interface provides a facility to transform from Object to Double.
    transform(Object) - Method in class org.apache.commons.math3.util.TransformerMap
    Attempts to transform the Object against the map of NumberTransformers.
    TransformerMap - Class in org.apache.commons.math3.util
    This TansformerMap automates the transformation of mixed object types.
    TransformerMap() - Constructor for class org.apache.commons.math3.util.TransformerMap
    Build a map containing only the default transformer.
    transformers() - Method in class org.apache.commons.math3.util.TransformerMap
    Returns the Set of NumberTransformers used as values in the map.
    transformInPlace(double[][], DftNormalization, TransformType) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer
    Computes the standard transform of the specified complex data.
    TransformType - Enum in org.apache.commons.math3.transform
    This enumeration defines the type of transform which is to be computed.
    TransformUtils - Class in org.apache.commons.math3.transform
    Useful functions for the implementation of various transforms.
    translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Translate the plane by the specified amount.
    translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet
    Translate the region by the specified amount.
    translateToPoint(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Translate the line to force it passing by a point.
    transpose() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Returns the transpose of this matrix.
    transpose() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Returns the transpose of this matrix.
    transpose() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Returns the transpose of this matrix.
    transpose() - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Returns the transpose of this matrix.
    transpose() - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Returns the transpose of this matrix.
    transpose() - Method in interface org.apache.commons.math3.linear.RealMatrix
    Returns the transpose of this matrix.
    trap(int, String, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Trap handler.
    TRAPEZOID_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
    Maximum number of iterations for trapezoid.
    TrapezoidIntegrator - Class in org.apache.commons.math3.analysis.integration
    Implements the Trapezoid Rule for integration of real univariate functions.
    TrapezoidIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
    Build a trapezoid integrator with given accuracies and iterations counts.
    TrapezoidIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
    Build a trapezoid integrator with given iteration counts.
    TrapezoidIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator
    Construct a trapezoid integrator with default settings.
    TriangularDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the triangular real distribution.
    TriangularDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution
    Creates a triangular real distribution using the given lower limit, upper limit, and mode.
    TriangularDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution
    Creates a triangular distribution.
    TricubicInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
    Function that implements the tricubic spline interpolation, as proposed in Tricubic interpolation in three dimensions, F.
    TricubicInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
     
    TricubicInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Generates a tricubic interpolating function.
    TricubicInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicInterpolator
     
    TricubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation
    Deprecated.
    To be removed in 4.0 (see MATH-1166).
    TricubicSplineInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
    Deprecated.
     
    TricubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Deprecated.
    To be removed in 4.0 (see MATH-1166).
    TricubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator
    Deprecated.
     
    trigamma(double) - Static method in class org.apache.commons.math3.special.Gamma
    Computes the trigamma function of x.
    trigger(int) - Method in interface org.apache.commons.math3.util.Incrementor.MaxCountExceededCallback
    Deprecated.
    Function called when the maximal count has been reached.
    trigger(int) - Method in interface org.apache.commons.math3.util.IntegerSequence.Incrementor.MaxCountExceededCallback
    Function called when the maximal count has been reached.
    TrivariateFunction - Interface in org.apache.commons.math3.analysis
    An interface representing a trivariate real function.
    TrivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
    Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.
    trunc(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.Dfp
    Does the integer conversions with the specified rounding.
    tTest(double, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    tTest(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    tTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    tTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils
     
    TTest - Class in org.apache.commons.math3.stat.inference
    An implementation for Student's t-tests.
    TTest() - Constructor for class org.apache.commons.math3.stat.inference.TTest
     
    tTest(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
    Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.
    tTest(double, double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.
    tTest(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
    Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.
    tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.
    tTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest
    Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
    tTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.
    tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest
    Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
    tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.
    tTest(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes p-value for 2-sided, 1-sample t-test.
    tTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest
    Computes p-value for 2-sided, 2-sample t-test.
    TWO - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "2 / 1".
    TWO - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "2 / 1".
    TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "2/5".
    TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "2/5".
    TWO_PI - Static variable in class org.apache.commons.math3.util.MathUtils
    \(2\pi\)
    TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "2/4".
    TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "2/4".
    TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "2/3".
    TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "2/3".

    U

    Ulp - Class in org.apache.commons.math3.analysis.function
    ulp function.
    Ulp() - Constructor for class org.apache.commons.math3.analysis.function.Ulp
     
    ulp(double) - Static method in class org.apache.commons.math3.util.FastMath
    Compute least significant bit (Unit in Last Position) for a number.
    ulp(float) - Static method in class org.apache.commons.math3.util.FastMath
    Compute least significant bit (Unit in Last Position) for a number.
    unbounded(int) - Static method in class org.apache.commons.math3.optim.SimpleBounds
    Factory method that creates instance of this class that represents unbounded ranges.
    UnboundedSolutionException - Exception in org.apache.commons.math3.optim.linear
    This class represents exceptions thrown by optimizers when a solution escapes to infinity.
    UnboundedSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.UnboundedSolutionException
    Simple constructor using a default message.
    UnboundedSolutionException - Exception in org.apache.commons.math3.optimization.linear
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    UnboundedSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.UnboundedSolutionException
    Deprecated.
    Simple constructor using a default message.
    unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
    Maps an array from unbounded to bounded.
    unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
    Deprecated.
    Map an array from unbounded to bounded.
    UncorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random
    A RandomVectorGenerator that generates vectors with uncorrelated components.
    UncorrelatedRandomVectorGenerator(double[], double[], NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
    Simple constructor.
    UncorrelatedRandomVectorGenerator(int, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator
    Simple constructor.
    unequal(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp
    Check if instance is not equal to x.
    UnifiedDistanceMatrix - Class in org.apache.commons.math3.ml.neuralnet.twod.util
    U-Matrix visualization of high-dimensional data projection.
    UnifiedDistanceMatrix(boolean, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.UnifiedDistanceMatrix
    Simple constructor.
    uniform(RandomGenerator, double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
    Uniform sampling of the given range.
    uniform(double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory
    Uniform sampling of the given range.
    UNIFORM_MODE - Static variable in class org.apache.commons.math3.random.ValueServer
    Uniform random deviates with mean = μ.
    UniformCrossover<T> - Class in org.apache.commons.math3.genetics
    Perform Uniform Crossover [UX] on the specified chromosomes.
    UniformCrossover(double) - Constructor for class org.apache.commons.math3.genetics.UniformCrossover
    Creates a new UniformCrossover policy using the given mixing ratio.
    UniformIntegerDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the uniform integer distribution.
    UniformIntegerDistribution(int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution
    Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
    UniformIntegerDistribution(RandomGenerator, int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution
    Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive).
    UniformRandomGenerator - Class in org.apache.commons.math3.random
    This class implements a normalized uniform random generator.
    UniformRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.UniformRandomGenerator
    Create a new generator.
    UniformRealDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the uniform real distribution.
    UniformRealDistribution() - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
    Create a standard uniform real distribution with lower bound (inclusive) equal to zero and upper bound (exclusive) equal to one.
    UniformRealDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
    Create a uniform real distribution using the given lower and upper bounds.
    UniformRealDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
    Deprecated.
    as of 3.2, inverse CDF is now calculated analytically, use UniformRealDistribution.UniformRealDistribution(double, double) instead.
    UniformRealDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
    Deprecated.
    as of 3.2, inverse CDF is now calculated analytically, use UniformRealDistribution.UniformRealDistribution(RandomGenerator, double, double) instead.
    UniformRealDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution
    Creates a uniform distribution.
    union(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
    Compute the union of two regions.
    unique(double[]) - Static method in class org.apache.commons.math3.util.MathArrays
    Returns an array consisting of the unique values in data.
    unitize() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Converts this vector into a unit vector.
    unitize() - Method in class org.apache.commons.math3.linear.RealVector
    Converts this vector into a unit vector.
    UnitSphereRandomVectorGenerator - Class in org.apache.commons.math3.random
    Generate random vectors isotropically located on the surface of a sphere.
    UnitSphereRandomVectorGenerator(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
     
    UnitSphereRandomVectorGenerator(int) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator
    Create an object that will use a default RNG (MersenneTwister), in order to generate the individual components.
    unitVector() - Method in class org.apache.commons.math3.linear.OpenMapRealVector
    Creates a unit vector pointing in the direction of this vector.
    unitVector() - Method in class org.apache.commons.math3.linear.RealVector
    Creates a unit vector pointing in the direction of this vector.
    UnivariateDfpFunction - Interface in org.apache.commons.math3.dfp
    Deprecated.
    as of 3.6, replaced with RealFieldUnivariateFunction
    UnivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation
    Interface for univariate functions derivatives.
    UnivariateDifferentiableMatrixFunction - Interface in org.apache.commons.math3.analysis.differentiation
    Extension of UnivariateMatrixFunction representing a univariate differentiable matrix function.
    UnivariateDifferentiableSolver - Interface in org.apache.commons.math3.analysis.solvers
    Interface for (univariate real) rootfinding algorithms.
    UnivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation
    Extension of UnivariateVectorFunction representing a univariate differentiable vectorial function.
    UnivariateFunction - Interface in org.apache.commons.math3.analysis
    An interface representing a univariate real function.
    UnivariateFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
    Interface defining the function differentiation operation.
    UnivariateIntegrator - Interface in org.apache.commons.math3.analysis.integration
    Interface for univariate real integration algorithms.
    UnivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation
    Interface representing a univariate real interpolating function.
    UnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis
    An interface representing a univariate matrix function.
    UnivariateMatrixFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
    Interface defining the function differentiation operation.
    UnivariateMultiStartOptimizer<FUNC extends UnivariateFunction> - Class in org.apache.commons.math3.optimization.univariate
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    UnivariateMultiStartOptimizer(BaseUnivariateOptimizer<FUNC>, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer
    Deprecated.
    Create a multi-start optimizer from a single-start optimizer.
    UnivariateObjectiveFunction - Class in org.apache.commons.math3.optim.univariate
    Scalar function to be optimized.
    UnivariateObjectiveFunction(UnivariateFunction) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction
     
    UnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate
    Base class for a univariate scalar function optimizer.
    UnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateOptimizer
     
    UnivariateOptimizer - Interface in org.apache.commons.math3.optimization.univariate
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    UnivariatePeriodicInterpolator - Class in org.apache.commons.math3.analysis.interpolation
    Adapter for classes implementing the UnivariateInterpolator interface.
    UnivariatePeriodicInterpolator(UnivariateInterpolator, double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
    Builds an interpolator.
    UnivariatePeriodicInterpolator(UnivariateInterpolator, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator
    Builds an interpolator.
    UnivariatePointValuePair - Class in org.apache.commons.math3.optim.univariate
    This class holds a point and the value of an objective function at this point.
    UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair
    Build a point/objective function value pair.
    UnivariatePointValuePair - Class in org.apache.commons.math3.optimization.univariate
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair
    Deprecated.
    Build a point/objective function value pair.
    UnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers
    Interface for (univariate real) root-finding algorithms.
    UnivariateSolverUtils - Class in org.apache.commons.math3.analysis.solvers
    Utility routines for UnivariateSolver objects.
    UnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive
    Base interface implemented by all statistics.
    UnivariateVectorFunction - Interface in org.apache.commons.math3.analysis
    An interface representing a univariate vectorial function.
    UnivariateVectorFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation
    Interface defining the function differentiation operation.
    UnknownParameterException - Exception in org.apache.commons.math3.ode
    Exception to be thrown when a parameter is unknown.
    UnknownParameterException(String) - Constructor for exception org.apache.commons.math3.ode.UnknownParameterException
    Construct an exception from the unknown parameter.
    unlimited() - Static method in class org.apache.commons.math3.optim.MaxEval
    Factory method that creates instance of this class that represents a virtually unlimited number of evaluations.
    unlimited() - Static method in class org.apache.commons.math3.optim.MaxIter
    Factory method that creates instance of this class that represents a virtually unlimited number of iterations.
    unmodifiableRealVector(RealVector) - Static method in class org.apache.commons.math3.linear.RealVector
    Returns an unmodifiable view of the specified vector.
    update(Network, double[]) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction
    Updates the network in response to the sample features.
    update(Network, double[]) - Method in interface org.apache.commons.math3.ml.neuralnet.UpdateAction
    Updates the network in response to the sample features.
    UpdateAction - Interface in org.apache.commons.math3.ml.neuralnet
    Describes how to update the network in response to a training sample.
    updateHighOrderDerivativesPhase1(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
    Update the high order scaled derivatives for Adams integrators (phase 1).
    updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
    Update the high order scaled derivatives for Adams integrators (phase 1).
    updateHighOrderDerivativesPhase1(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
    Update the high order scaled derivatives for Adams integrators (phase 1).
    updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
    Update the high order scaled derivatives for Adams integrators (phase 1).
    updateHighOrderDerivativesPhase2(T[], T[], Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator
    Update the high order scaled derivatives Adams integrators (phase 2).
    updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator
    Update the high order scaled derivatives Adams integrators (phase 2).
    updateHighOrderDerivativesPhase2(T[], T[], Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer
    Update the high order scaled derivatives Adams integrators (phase 2).
    updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer
    Update the high order scaled derivatives Adams integrators (phase 2).
    updateJacobian() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    updateResidualsAndCost() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    UpdatingMultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression
    An interface for regression models allowing for dynamic updating of the data.
    upperCumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution
    For this distribution, X, this method returns P(X >= x).
    UPSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance
    The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance.

    V

    v - Variable in class org.apache.commons.math3.random.AbstractWell
    Bytes pool.
    validate(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.ParameterValidator
    Validates the set of parameters.
    validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
    Validates that the x data and covariance matrix have the same number of rows and that the covariance matrix is square.
    validateSampleData(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression
    Validates sample data.
    value(double, double) - Method in interface org.apache.commons.math3.analysis.BivariateFunction
    Compute the value for the function.
    value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.GradientFunction
    Compute the value for the function at the given point.
    value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.JacobianFunction
    Compute the value for the function at the given point.
    value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableFunction
    Compute the value for the function at the given point.
    value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction
    Compute the value for the function at the given point.
    value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction
    Simple mathematical function.
    value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableMatrixFunction
    Compute the value for the function.
    value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableVectorFunction
    Compute the value for the function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Abs
    Compute the value of the function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Acos
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acos
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Acosh
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acosh
    Simple mathematical function.
    value(double, double) - Method in class org.apache.commons.math3.analysis.function.Add
    Compute the value for the function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Asin
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asin
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Asinh
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asinh
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Atan
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atan
    Simple mathematical function.
    value(double, double) - Method in class org.apache.commons.math3.analysis.function.Atan2
    Compute the value for the function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Atanh
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atanh
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Cbrt
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cbrt
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Ceil
    Compute the value of the function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Constant
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Constant
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Cos
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cos
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Cosh
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cosh
    Simple mathematical function.
    value(double, double) - Method in class org.apache.commons.math3.analysis.function.Divide
    Compute the value for the function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Exp
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Exp
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Expm1
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Expm1
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Floor
    Compute the value of the function.
    value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric
    Computes the value of the Gaussian at x.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Gaussian
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Gaussian
    Simple mathematical function.
    value(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric
    Computes the value of the harmonic oscillator at x.
    value(double) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Identity
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Identity
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Inverse
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Inverse
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Log
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Log10
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log10
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Log1p
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log1p
    Simple mathematical function.
    value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric
    Computes the value of the sigmoid at x.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Logistic
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logistic
    Simple mathematical function.
    value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric
    Computes the value of the logit at x.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Logit
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logit
    Simple mathematical function.
    value(double, double) - Method in class org.apache.commons.math3.analysis.function.Max
    Compute the value for the function.
    value(double, double) - Method in class org.apache.commons.math3.analysis.function.Min
    Compute the value for the function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Minus
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Minus
    Simple mathematical function.
    value(double, double) - Method in class org.apache.commons.math3.analysis.function.Multiply
    Compute the value for the function.
    value(double, double) - Method in class org.apache.commons.math3.analysis.function.Pow
    Compute the value for the function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Power
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Power
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Rint
    Compute the value of the function.
    value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric
    Computes the value of the sigmoid at x.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sigmoid
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Signum
    Compute the value of the function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Sin
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sin
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Sinc
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinc
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Sinh
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinh
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Sqrt
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sqrt
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.StepFunction
    Compute the value of the function.
    value(double, double) - Method in class org.apache.commons.math3.analysis.function.Subtract
    Compute the value for the function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Tan
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tan
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Tanh
    Compute the value of the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tanh
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.function.Ulp
    Compute the value of the function.
    value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction
    Compute the value for the function.
    value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction
    Deprecated.
    Compute the value for the function.
    value(T) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator
    Interpolate value at a specified abscissa.
    value(double) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
    Interpolate value at a specified abscissa.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator
    Interpolate value at a specified abscissa.
    value(double[], double[][], double[], double, double) - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere
    Estimate the value at the requested location.
    value(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction
    Deprecated.
     
    value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction
    Compute the value for the function.
    value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction
    Compute the value for the function.
    value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction
    Deprecated.
    Compute the value for the function.
    value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateFunction
    Compute the value for the function at the given point.
    value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateMatrixFunction
    Compute the value for the function at the given point.
    value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateVectorFunction
    Compute the value for the function at the given point.
    value(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction
    Compute the value of the function.
    value(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric
    Compute the value of the function.
    value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Compute the value of the function for the given argument.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
    Calculate the function value at the given point.
    value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
    Calculate the function value at the given point.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
    Simple mathematical function.
    value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
    Compute the value for the function.
    value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction
    Simple mathematical function.
    value(T) - Method in interface org.apache.commons.math3.analysis.RealFieldUnivariateFunction
    Compute the value of the function.
    value(double, double, double) - Method in interface org.apache.commons.math3.analysis.TrivariateFunction
    Compute the value for the function.
    value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateFunction
    Compute the value of the function.
    value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateMatrixFunction
    Compute the value for the function.
    value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateVectorFunction
    Compute the value for the function.
    value(Dfp) - Method in interface org.apache.commons.math3.dfp.UnivariateDfpFunction
    Deprecated.
    Compute the value of the function.
    value(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.MultivariateJacobianFunction
    Compute the function value and its Jacobian.
    value() - Method in interface org.apache.commons.math3.ml.neuralnet.FeatureInitializer
    Selects the initial value.
    value(long) - Method in interface org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunction
    Computes the learning rate at the current call.
    value(long) - Method in interface org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunction
    Computes the neighbourhood size at the current call.
    value(long) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction
    Computes a e-numCall / b.
    value(long) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction
    Computes the value of the learning factor.
    value(double[]) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
    Computes the value of the linear equation at the current point.
    value(RealVector) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction
    Computes the value of the linear equation at the current point.
    value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter
    Compute the value for the function at the given point.
    value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter
    Compute the underlying function value from an unbounded point.
    value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter
    Computes the underlying function value from an unbounded point.
    value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter
    Deprecated.
    Compute the underlying function value from an unbounded point.
    value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter
    Deprecated.
    Compute the underlying function value from an unbounded point.
    value(double[]) - Method in class org.apache.commons.math3.optimization.LeastSquaresConverter
    Deprecated.
    Compute the value for the function at the given point.
    value(double) - Method in class org.apache.commons.math3.special.BesselJ
    Returns the value of the constructed Bessel function of the first kind, for the passed argument.
    value(double, double) - Static method in class org.apache.commons.math3.special.BesselJ
    Returns the first Bessel function, \(J_{order}(x)\).
    value() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator
    Get the value of current entry.
    value() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator
    Get the value of current entry.
    ValueAndJacobianFunction - Interface in org.apache.commons.math3.fitting.leastsquares
    A interface for functions that compute a vector of values and can compute their derivatives (Jacobian).
    valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
    Returns the enum constant of this type with the specified name.
    valueOf(double, double) - Static method in class org.apache.commons.math3.complex.Complex
    Create a complex number given the real and imaginary parts.
    valueOf(double) - Static method in class org.apache.commons.math3.complex.Complex
    Create a complex number given only the real part.
    valueOf(String) - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.geometry.euclidean.threed.RotationConvention
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.Action
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.FilterType
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.PivotSelectionRule
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.Relationship
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
    Deprecated.
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.optimization.GoalType
    Deprecated.
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
    Deprecated.
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
    Deprecated.
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.transform.DctNormalization
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.transform.DftNormalization
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.transform.DstNormalization
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.transform.TransformType
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.Position
    Returns the enum constant of this type with the specified name.
    valueOf(String) - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
    Returns the enum constant of this type with the specified name.
    values() - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.geometry.euclidean.threed.RotationConvention
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Side
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.ode.events.Action
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.ode.events.FilterType
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.optim.linear.PivotSelectionRule
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.optim.linear.Relationship
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula
    Deprecated.
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.optimization.GoalType
    Deprecated.
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.optimization.linear.Relationship
    Deprecated.
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
    Deprecated.
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.transform.DctNormalization
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.transform.DftNormalization
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.transform.DstNormalization
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.transform.TransformType
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.util.MathArrays.Position
    Returns an array containing the constants of this enum type, in the order they are declared.
    values() - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode
    Returns an array containing the constants of this enum type, in the order they are declared.
    ValueServer - Class in org.apache.commons.math3.random
    Generates values for use in simulation applications.
    ValueServer() - Constructor for class org.apache.commons.math3.random.ValueServer
    Creates new ValueServer
    ValueServer(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.ValueServer
    ValueServer(RandomGenerator) - Constructor for class org.apache.commons.math3.random.ValueServer
    Construct a ValueServer instance using a RandomGenerator as its source of random data.
    valuesIterator() - Method in class org.apache.commons.math3.stat.Frequency
    Returns an Iterator over the set of values that have been added.
    Variance - Class in org.apache.commons.math3.stat.descriptive.moment
    Computes the variance of the available values.
    Variance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
    Constructs a Variance with default (true) isBiasCorrected property.
    Variance(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
    Constructs a Variance based on an external second moment.
    Variance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
    Constructs a Variance with the specified isBiasCorrected property
    Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
    Constructs a Variance with the specified isBiasCorrected property and the supplied external second moment.
    Variance(Variance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance
    Copy constructor, creates a new Variance identical to the original
    variance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the variance of the entries in the input array, or Double.NaN if the array is empty.
    variance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
    variance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
    variance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the variance of the entries in the input array, using the precomputed mean value.
    varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils
    Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]).
    vecAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Allowed absolute vectorial error.
    vecAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Allowed absolute vectorial error.
    vecRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator
    Allowed relative vectorial error.
    vecRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator
    Allowed relative vectorial error.
    Vector<S extends Space> - Interface in org.apache.commons.math3.geometry
    This interface represents a generic vector in a vectorial space or a point in an affine space.
    VECTOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient
    Key for the exception context.
    Vector1D - Class in org.apache.commons.math3.geometry.euclidean.oned
    This class represents a 1D vector.
    Vector1D(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Simple constructor.
    Vector1D(double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Multiplicative constructor Build a vector from another one and a scale factor.
    Vector1D(double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Linear constructor Build a vector from two other ones and corresponding scale factors.
    Vector1D(double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Linear constructor Build a vector from three other ones and corresponding scale factors.
    Vector1D(double, Vector1D, double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Linear constructor Build a vector from four other ones and corresponding scale factors.
    Vector1DFormat - Class in org.apache.commons.math3.geometry.euclidean.oned
    Formats a 1D vector in components list format "{x}".
    Vector1DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
    Create an instance with default settings.
    Vector1DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
    Create an instance with a custom number format for components.
    Vector1DFormat(String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
    Create an instance with custom prefix, suffix and separator.
    Vector1DFormat(String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat
    Create an instance with custom prefix, suffix, separator and format for components.
    Vector2D - Class in org.apache.commons.math3.geometry.euclidean.twod
    This class represents a 2D vector.
    Vector2D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Simple constructor.
    Vector2D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Simple constructor.
    Vector2D(double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Multiplicative constructor Build a vector from another one and a scale factor.
    Vector2D(double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Linear constructor Build a vector from two other ones and corresponding scale factors.
    Vector2D(double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Linear constructor Build a vector from three other ones and corresponding scale factors.
    Vector2D(double, Vector2D, double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Linear constructor Build a vector from four other ones and corresponding scale factors.
    Vector2DFormat - Class in org.apache.commons.math3.geometry.euclidean.twod
    Formats a 2D vector in components list format "{x; y}".
    Vector2DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
    Create an instance with default settings.
    Vector2DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
    Create an instance with a custom number format for components.
    Vector2DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
    Create an instance with custom prefix, suffix and separator.
    Vector2DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat
    Create an instance with custom prefix, suffix, separator and format for components.
    Vector3D - Class in org.apache.commons.math3.geometry.euclidean.threed
    This class implements vectors in a three-dimensional space.
    Vector3D(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Simple constructor.
    Vector3D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Simple constructor.
    Vector3D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Simple constructor.
    Vector3D(double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Multiplicative constructor Build a vector from another one and a scale factor.
    Vector3D(double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Linear constructor Build a vector from two other ones and corresponding scale factors.
    Vector3D(double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Linear constructor Build a vector from three other ones and corresponding scale factors.
    Vector3D(double, Vector3D, double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Linear constructor Build a vector from four other ones and corresponding scale factors.
    Vector3DFormat - Class in org.apache.commons.math3.geometry.euclidean.threed
    Formats a 3D vector in components list format "{x; y; z}".
    Vector3DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
    Create an instance with default settings.
    Vector3DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
    Create an instance with a custom number format for components.
    Vector3DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
    Create an instance with custom prefix, suffix and separator.
    Vector3DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat
    Create an instance with custom prefix, suffix, separator and format for components.
    VectorFormat<S extends Space> - Class in org.apache.commons.math3.geometry
    Formats a vector in components list format "{x; y; ...}".
    VectorFormat() - Constructor for class org.apache.commons.math3.geometry.VectorFormat
    Create an instance with default settings.
    VectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
    Create an instance with a custom number format for components.
    VectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
    Create an instance with custom prefix, suffix and separator.
    VectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat
    Create an instance with custom prefix, suffix, separator and format for components.
    VectorialCovariance - Class in org.apache.commons.math3.stat.descriptive.moment
    Returns the covariance matrix of the available vectors.
    VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance
    Constructs a VectorialCovariance.
    VectorialMean - Class in org.apache.commons.math3.stat.descriptive.moment
    Returns the arithmetic mean of the available vectors.
    VectorialMean(int) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialMean
    Constructs a VectorialMean.
    verifyBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Check that the endpoints specify an interval and the function takes opposite signs at the endpoints.
    verifyBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    Check that the endpoints specify an interval and the end points bracket a root.
    verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm
    Verifies that the input arrays are valid.
    verifyInterpolationArray(double[], double[], boolean) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm
    Check that the interpolation arrays are valid.
    verifyInterval(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Check that the endpoints specify an interval.
    verifyInterval(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    Check that the endpoints specify an interval.
    verifySequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver
    Check that lower < initial < upper.
    verifySequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils
    Check that lower < initial < upper.
    verifyValues(double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays
    This method is used to verify that the input parameters designate a subarray of positive length.
    verifyValues(double[], int, int, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
    This method is used to verify that the input parameters designate a subarray of positive length.
    verifyValues(double[], double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays
    This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
    verifyValues(double[], double[], int, int, boolean) - Static method in class org.apache.commons.math3.util.MathArrays
    This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero.
    Vertex - Class in org.apache.commons.math3.geometry.spherical.twod
    Spherical polygons boundary vertex.
    visit(BSPTreeVisitor<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree
    Visit the BSP tree nodes.
    visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor
    Visit one matrix entry.
    visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor
    Visit one matrix entry.
    visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor
    Visit one matrix entry.
    visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor
    Visit one matrix entry.
    visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor
    Visit one matrix entry.
    visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor
    Visit one matrix entry.
    visit(int, T) - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor
    Visit one entry of the vector.
    visit(int, T) - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor
    Visit one entry of the vector.
    visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor
    Visit one matrix entry.
    visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor
    Visit one matrix entry.
    visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor
    Visit one entry of the vector.
    visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor
    Visit one entry of the vector.
    visitInternalNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
    Visit a BSP tree node node having a non-null sub-hyperplane.
    visitLeafNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
    Visit a leaf BSP tree node node having a null sub-hyperplane.
    visitOrder(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor
    Determine the visit order for this node.

    W

    walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (and possibly change) all matrix entries in column order.
    walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (but don't change) all matrix entries in column order.
    walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (and possibly change) some matrix entries in column order.
    walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (but don't change) some matrix entries in column order.
    walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (and possibly change) all matrix entries in column order.
    walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (but don't change) all matrix entries in column order.
    walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (and possibly change) some matrix entries in column order.
    walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (but don't change) some matrix entries in column order.
    walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Visit (and possibly change) all matrix entries in column order.
    walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Visit (but don't change) all matrix entries in column order.
    walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Visit (and possibly change) some matrix entries in column order.
    walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Visit (but don't change) some matrix entries in column order.
    walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Visit (and possibly change) all matrix entries in column order.
    walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Visit (but don't change) all matrix entries in column order.
    walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Visit (and possibly change) some matrix entries in column order.
    walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Visit (but don't change) some matrix entries in column order.
    walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (and possibly change) all matrix entries in column order.
    walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (but don't change) all matrix entries in column order.
    walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (and possibly change) some matrix entries in column order.
    walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (but don't change) some matrix entries in column order.
    walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (and possibly change) all matrix entries in column order.
    walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (but don't change) all matrix entries in column order.
    walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (and possibly change) some matrix entries in column order.
    walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (but don't change) some matrix entries in column order.
    walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Visits (but does not alter) all entries of this vector in default order (increasing index).
    walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Visits (but does not alter) some entries of this vector in default order (increasing index).
    walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Visits (and possibly alters) all entries of this vector in default order (increasing index).
    walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Visits (and possibly alters) some entries of this vector in default order (increasing index).
    walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Visits (but does not alter) all entries of this vector in default order (increasing index).
    walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Visits (but does not alter) some entries of this vector in default order (increasing index).
    walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Visits (and possibly alters) all entries of this vector in default order (increasing index).
    walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Visits (and possibly alters) some entries of this vector in default order (increasing index).
    walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
    Visits (but does not alter) all entries of this vector in default order (increasing index).
    walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
    Visits (but does not alter) some entries of this vector in default order (increasing index).
    walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
    Visits (and possibly alters) all entries of this vector in default order (increasing index).
    walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
    Visits (and possibly alters) some entries of this vector in default order (increasing index).
    walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Visits (but does not alter) all entries of this vector in default order (increasing index).
    walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Visits (but does not alter) some entries of this vector in default order (increasing index).
    walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Visits (and possibly alters) all entries of this vector in default order (increasing index).
    walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Visits (and possibly alters) some entries of this vector in default order (increasing index).
    walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (and possibly change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (but don't change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (and possibly change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (but don't change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (and possibly change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (but don't change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (and possibly change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (but don't change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Visits (but does not alter) all entries of this vector in optimized order.
    walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Visits (but does not alter) some entries of this vector in optimized order.
    walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Visits (and possibly alters) all entries of this vector in optimized order.
    walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector
    Visits (and possibly change) some entries of this vector in optimized order.
    walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Visits (but does not alter) all entries of this vector in optimized order.
    walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Visits (but does not alter) some entries of this vector in optimized order.
    walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Visits (and possibly alters) all entries of this vector in optimized order.
    walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector
    Visits (and possibly change) some entries of this vector in optimized order.
    walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Visit (and possibly change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Visit (but don't change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Visit (and possibly change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Visit (but don't change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Visit (and possibly change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Visit (but don't change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Visit (and possibly change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Visit (but don't change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (and possibly change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (but don't change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (and possibly change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (but don't change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (and possibly change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (but don't change) all matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (and possibly change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (but don't change) some matrix entries using the fastest possible order.
    walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
    Visits (but does not alter) all entries of this vector in optimized order.
    walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
    Visits (but does not alter) some entries of this vector in optimized order.
    walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector
    Visits (and possibly alters) all entries of this vector in optimized order.
    walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector
    Visits (and possibly change) some entries of this vector in optimized order.
    walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Visits (but does not alter) all entries of this vector in optimized order.
    walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Visits (but does not alter) some entries of this vector in optimized order.
    walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Visits (and possibly alters) all entries of this vector in optimized order.
    walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector
    Visits (and possibly change) some entries of this vector in optimized order.
    walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (and possibly change) all matrix entries in row order.
    walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (but don't change) all matrix entries in row order.
    walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (and possibly change) some matrix entries in row order.
    walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix
    Visit (but don't change) some matrix entries in row order.
    walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (and possibly change) all matrix entries in row order.
    walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (but don't change) all matrix entries in row order.
    walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (and possibly change) some matrix entries in row order.
    walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix
    Visit (but don't change) some matrix entries in row order.
    walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Visit (and possibly change) all matrix entries in row order.
    walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Visit (but don't change) all matrix entries in row order.
    walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Visit (and possibly change) some matrix entries in row order.
    walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix
    Visit (but don't change) some matrix entries in row order.
    walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Visit (and possibly change) all matrix entries in row order.
    walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Visit (but don't change) all matrix entries in row order.
    walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Visit (and possibly change) some matrix entries in row order.
    walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix
    Visit (but don't change) some matrix entries in row order.
    walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Visit (and possibly change) all matrix entries in row order.
    walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Visit (but don't change) all matrix entries in row order.
    walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Visit (and possibly change) some matrix entries in row order.
    walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix
    Visit (but don't change) some matrix entries in row order.
    walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Visit (and possibly change) all matrix entries in row order.
    walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Visit (but don't change) all matrix entries in row order.
    walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Visit (and possibly change) some matrix entries in row order.
    walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix
    Visit (but don't change) some matrix entries in row order.
    walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (and possibly change) all matrix entries in row order.
    walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (but don't change) all matrix entries in row order.
    walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (and possibly change) some matrix entries in row order.
    walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix
    Visit (but don't change) some matrix entries in row order.
    walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (and possibly change) all matrix entries in row order.
    walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (but don't change) all matrix entries in row order.
    walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (and possibly change) some matrix entries in row order.
    walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix
    Visit (but don't change) some matrix entries in row order.
    WeibullDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the Weibull distribution.
    WeibullDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
    Create a Weibull distribution with the given shape and scale and a location equal to zero.
    WeibullDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
    Create a Weibull distribution with the given shape, scale and inverse cumulative probability accuracy and a location equal to zero.
    WeibullDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
    Creates a Weibull distribution.
    WeibullDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution
    Creates a Weibull distribution.
    weight(RealMatrix) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder
    Configure the weight matrix.
    Weight - Class in org.apache.commons.math3.optim.nonlinear.vector
    Deprecated.
    All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).
    Weight(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight
    Deprecated.
    Creates a diagonal weight matrix.
    Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight
    Deprecated.
     
    Weight - Class in org.apache.commons.math3.optimization
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    Weight(double[]) - Constructor for class org.apache.commons.math3.optimization.Weight
    Deprecated.
    Creates a diagonal weight matrix.
    Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optimization.Weight
    Deprecated.
     
    weightDiagonal(LeastSquaresProblem, RealVector) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
    Apply a diagonal weight matrix to the LeastSquaresProblem.
    WeightedEvaluation - Interface in org.apache.commons.math3.stat.descriptive
    Weighted evaluation for statistics.
    WeightedObservedPoint - Class in org.apache.commons.math3.fitting
    This class is a simple container for weighted observed point in curve fitting.
    WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoint
    Simple constructor.
    WeightedObservedPoint - Class in org.apache.commons.math3.optimization.fitting
    Deprecated.
    As of 3.1 (to be removed in 4.0).
    WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint
    Deprecated.
    Simple constructor.
    WeightedObservedPoints - Class in org.apache.commons.math3.fitting
    Simple container for weighted observed points used in curve fitting algorithms.
    WeightedObservedPoints() - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoints
     
    weightedResidualJacobian - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    As of 3.1. To be removed in 4.0. Please use AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[]) instead.
    weightedResiduals - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer
    Deprecated.
    As of 3.1.
    weightMatrix(LeastSquaresProblem, RealMatrix) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory
    Apply a dense weight matrix to the LeastSquaresProblem.
    Well1024a - Class in org.apache.commons.math3.random
    This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
    Well1024a() - Constructor for class org.apache.commons.math3.random.Well1024a
    Creates a new random number generator.
    Well1024a(int) - Constructor for class org.apache.commons.math3.random.Well1024a
    Creates a new random number generator using a single int seed.
    Well1024a(int[]) - Constructor for class org.apache.commons.math3.random.Well1024a
    Creates a new random number generator using an int array seed.
    Well1024a(long) - Constructor for class org.apache.commons.math3.random.Well1024a
    Creates a new random number generator using a single long seed.
    Well19937a - Class in org.apache.commons.math3.random
    This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
    Well19937a() - Constructor for class org.apache.commons.math3.random.Well19937a
    Creates a new random number generator.
    Well19937a(int) - Constructor for class org.apache.commons.math3.random.Well19937a
    Creates a new random number generator using a single int seed.
    Well19937a(int[]) - Constructor for class org.apache.commons.math3.random.Well19937a
    Creates a new random number generator using an int array seed.
    Well19937a(long) - Constructor for class org.apache.commons.math3.random.Well19937a
    Creates a new random number generator using a single long seed.
    Well19937c - Class in org.apache.commons.math3.random
    This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
    Well19937c() - Constructor for class org.apache.commons.math3.random.Well19937c
    Creates a new random number generator.
    Well19937c(int) - Constructor for class org.apache.commons.math3.random.Well19937c
    Creates a new random number generator using a single int seed.
    Well19937c(int[]) - Constructor for class org.apache.commons.math3.random.Well19937c
    Creates a new random number generator using an int array seed.
    Well19937c(long) - Constructor for class org.apache.commons.math3.random.Well19937c
    Creates a new random number generator using a single long seed.
    Well44497a - Class in org.apache.commons.math3.random
    This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
    Well44497a() - Constructor for class org.apache.commons.math3.random.Well44497a
    Creates a new random number generator.
    Well44497a(int) - Constructor for class org.apache.commons.math3.random.Well44497a
    Creates a new random number generator using a single int seed.
    Well44497a(int[]) - Constructor for class org.apache.commons.math3.random.Well44497a
    Creates a new random number generator using an int array seed.
    Well44497a(long) - Constructor for class org.apache.commons.math3.random.Well44497a
    Creates a new random number generator using a single long seed.
    Well44497b - Class in org.apache.commons.math3.random
    This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
    Well44497b() - Constructor for class org.apache.commons.math3.random.Well44497b
    Creates a new random number generator.
    Well44497b(int) - Constructor for class org.apache.commons.math3.random.Well44497b
    Creates a new random number generator using a single int seed.
    Well44497b(int[]) - Constructor for class org.apache.commons.math3.random.Well44497b
    Creates a new random number generator using an int array seed.
    Well44497b(long) - Constructor for class org.apache.commons.math3.random.Well44497b
    Creates a new random number generator using a single long seed.
    Well512a - Class in org.apache.commons.math3.random
    This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
    Well512a() - Constructor for class org.apache.commons.math3.random.Well512a
    Creates a new random number generator.
    Well512a(int) - Constructor for class org.apache.commons.math3.random.Well512a
    Creates a new random number generator using a single int seed.
    Well512a(int[]) - Constructor for class org.apache.commons.math3.random.Well512a
    Creates a new random number generator using an int array seed.
    Well512a(long) - Constructor for class org.apache.commons.math3.random.Well512a
    Creates a new random number generator using a single long seed.
    WelzlEncloser<S extends Space,P extends Point<S>> - Class in org.apache.commons.math3.geometry.enclosing
    Class implementing Emo Welzl algorithm to find the smallest enclosing ball in linear time.
    WelzlEncloser(double, SupportBallGenerator<S, P>) - Constructor for class org.apache.commons.math3.geometry.enclosing.WelzlEncloser
    Simple constructor.
    wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Build a region covering the whole hyperplane.
    wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Build a region covering the whole hyperplane.
    wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Build a sub-hyperplane covering the whole hyperplane.
    wholeHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
    Build a sub-hyperplane covering the whole hyperplane.
    wholeHyperplane() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Build a region covering the whole hyperplane.
    wholeHyperplane() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Build a sub-hyperplane covering the whole hyperplane.
    wholeLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line
    Build a sub-line covering the whole line.
    wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint
    Build a region covering the whole space.
    wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane
    Build a region covering the whole space.
    wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line
    Build a region covering the whole space.
    wholeSpace() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane
    Build a region covering the whole space.
    wholeSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle
    Build a region covering the whole space.
    wholeSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle
    Build a region covering the whole space.
    wilcoxonSignedRank(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
    Computes the Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
    WilcoxonSignedRankTest - Class in org.apache.commons.math3.stat.inference
    An implementation of the Wilcoxon signed-rank test.
    WilcoxonSignedRankTest() - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
    Create a test instance where NaN's are left in place and ties get the average of applicable ranks.
    WilcoxonSignedRankTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
    Create a test instance using the given strategies for NaN's and ties.
    wilcoxonSignedRankTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest
    Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample.
    WilsonScoreInterval - Class in org.apache.commons.math3.stat.interval
    Implements the Wilson score method for creating a binomial proportion confidence interval.
    WilsonScoreInterval() - Constructor for class org.apache.commons.math3.stat.interval.WilsonScoreInterval
     
    windowSize - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics
    hold the window size
    withCallback(IntegerSequence.Incrementor.MaxCountExceededCallback) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Creates a new instance with a given callback.
    withCostRelativeTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
     
    withDecomposition(GaussNewtonOptimizer.Decomposition) - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer
    Configure the decomposition algorithm.
    withEstimationType(Percentile.EstimationType) - Method in class org.apache.commons.math3.stat.descriptive.rank.Median
    Build a new instance similar to the current one except for the estimation type.
    withEstimationType(Percentile.EstimationType) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Build a new instance similar to the current one except for the estimation type.
    withIncrement(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Creates a new instance with a given increment.
    withInitialStepBoundFactor(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
     
    withKthSelector(KthSelector) - Method in class org.apache.commons.math3.stat.descriptive.rank.Median
    Build a new instance similar to the current one except for the kthSelector instance specifically set.
    withKthSelector(KthSelector) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Build a new instance similar to the current one except for the kthSelector instance specifically set.
    withMaximalCount(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Creates a new instance with a given maximal count.
    withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
    Configure the maximum number of iterations.
    withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
    Configure the maximum number of iterations.
    withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
    Configure the maximum number of iterations.
    withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.SimpleCurveFitter
    Configure the maximum number of iterations.
    withNaNStrategy(NaNStrategy) - Method in class org.apache.commons.math3.stat.descriptive.rank.Median
    Build a new instance similar to the current one except for the NaN handling strategy.
    withNaNStrategy(NaNStrategy) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile
    Build a new instance similar to the current one except for the NaN handling strategy.
    withOrthoTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
    Modifies the given parameter.
    withParameterRelativeTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
     
    withRankingThreshold(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer
     
    withStart(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor
    Creates a new instance with a given initial value.
    withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter
    Configure the start point (initial guess).
    withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter
    Configure the start point (initial guess).
    withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter
    Configure the start point (initial guess).
    withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.SimpleCurveFitter
    Configure the start point (initial guess).
    wrap(IntegerSequence.Incrementor) - Static method in class org.apache.commons.math3.util.Incrementor
    Deprecated.
    Create an instance that delegates everything to a IntegerSequence.Incrementor.
    writeBaseExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    Save the base state of the instance.
    writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator
    writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator

    X

    xor(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory
    Compute the symmetric difference (exclusive or) of two regions.
    XYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Euler angles.
    XYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Cardan angles.
    XZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Euler angles.
    XZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Cardan angles.

    Y

    YXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Euler angles.
    YXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Cardan angles.
    YZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Cardan angles.
    YZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Euler angles.

    Z

    ZERO - Static variable in class org.apache.commons.math3.complex.Complex
    A complex number representing "0.0 + 0.0i"
    ZERO - Static variable in class org.apache.commons.math3.complex.Quaternion
    Zero quaternion.
    ZERO - Static variable in class org.apache.commons.math3.fraction.BigFraction
    A fraction representing "0".
    ZERO - Static variable in class org.apache.commons.math3.fraction.Fraction
    A fraction representing "0".
    ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D
    Origin (coordinates: 0).
    ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D
    Null vector (coordinates: 0, 0, 0).
    ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D
    Origin (coordinates: 0, 0).
    ZERO - Static variable in class org.apache.commons.math3.util.BigReal
    A big real representing 0.
    ZERO - Static variable in class org.apache.commons.math3.util.Decimal64
    The constant value of 0d as a Decimal64.
    ZeroException - Exception in org.apache.commons.math3.exception
    Exception to be thrown when zero is provided where it is not allowed.
    ZeroException() - Constructor for exception org.apache.commons.math3.exception.ZeroException
    Construct the exception.
    ZeroException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ZeroException
    Construct the exception with a specific context.
    ZipfDistribution - Class in org.apache.commons.math3.distribution
    Implementation of the Zipf distribution.
    ZipfDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution
    Create a new Zipf distribution with the given number of elements and exponent.
    ZipfDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution
    Creates a Zipf distribution.
    ZXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Cardan angles.
    ZXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Euler angles.
    ZYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Cardan angles.
    ZYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder
    Set of Euler angles.
    A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 

    Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.

    Convert a FielDMatrix/RealMatrix. fREE8Oa>OpenÉntToTgubleHashMap¼/dt>
    Status indicator for free table entriEs.
    OpenIntToFiel`HashMap
    div class="block"¾Status hndicator fnr free table entries.
    Fråquency = Class in org.apache.commons.math3.stat
    Maintains a frequency distribution.
    Frequency() - Constructor for class org.apache.commons.math3.stat.Frequency
    Default constructor.
    Frequency(Comparator<?>) - Constructor for class org.apache.commons.math3.stat.Frequency
    Constructor allowing values Comparator to be specified.
    fsd(douBlu[]) - Method in class org.`pache.commons.math3.transform.|/dt> Pesfosm the FST algorithm (including inverse).